General chat
6 candidate models
For support, knowledge Q&A, content generation, and everyday app integrations.
OpenAI GPT Latest
~openai/gpt-latest
OpenAI GPT Mini Latest
~openai/gpt-mini-latest
OpenAI: GPT-4 Turbo
openai/gpt-4-turbo
No need to scroll through hundreds of raw rows. PacketLab groups models by use case first, then keeps full model IDs, context windows, and point pricing available when you need detail.
369
public sellable models, grouped by use case
6 candidate models
For support, knowledge Q&A, content generation, and everyday app integrations.
OpenAI GPT Latest
~openai/gpt-latest
OpenAI GPT Mini Latest
~openai/gpt-mini-latest
OpenAI: GPT-4 Turbo
openai/gpt-4-turbo
6 candidate models
For multi-step analysis, planning, math, and high-value decisions.
OpenAI: GPT-5 Pro
openai/gpt-5-pro
OpenAI: GPT-5.2 Pro
openai/gpt-5.2-pro
OpenAI: GPT-5.4 Pro
openai/gpt-5.4-pro
6 candidate models
For IDEs, code agents, script generation, and code review.
OpenAI: GPT Audio
openai/gpt-audio
OpenAI: GPT Audio Mini
openai/gpt-audio-mini
OpenAI: GPT-3.5 Turbo
openai/gpt-3.5-turbo
6 candidate models
For image understanding, document analysis, and multi-format input.
OpenAI GPT Latest
~openai/gpt-latest
OpenAI GPT Mini Latest
~openai/gpt-mini-latest
OpenAI: GPT-4 Turbo
openai/gpt-4-turbo
6 candidate models
For long documents, support histories, contracts, and knowledge-base input.
OpenAI GPT Latest
~openai/gpt-latest
OpenAI GPT Mini Latest
~openai/gpt-mini-latest
OpenAI: GPT-5 Pro
openai/gpt-5-pro
6 candidate models
For high-volume, cost-sensitive first integrations.
OpenAI: gpt-oss-20b
openai/gpt-oss-20b
OpenAI: gpt-oss-120b
openai/gpt-oss-120b
OpenAI: gpt-oss-safeguard-20b
openai/gpt-oss-safeguard-20b
Launch picks
The most practical models for chat, reasoning, code, and multimodal work are shown first for faster customer decisions.
~openai/gpt-latest
This model always redirects to the latest model in the OpenAI GPT family.
Per 1K tokens: input 7.75 points, output 46.51 points
per 1K tokens
~openai/gpt-mini-latest
This model always redirects to the latest model in the OpenAI GPT Mini family.
Per 1K tokens: input 1.24 points, output 7.43 points
per 1K tokens
openai/gpt-4-turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Per 1K tokens: input 15.5 points, output 46.51 points
per 1K tokens
openai/gpt-5-pro
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
Per 1K tokens: input 21.76 points, output 174.01 points
per 1K tokens
openai/gpt-5.2-pro
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
Per 1K tokens: input 30.45 points, output 243.6 points
per 1K tokens
openai/gpt-5.4-pro
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...
Per 1K tokens: input 43.51 points, output 261.01 points
per 1K tokens
openai/gpt-5.5-pro
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
Per 1K tokens: input 43.51 points, output 261.01 points
per 1K tokens
openai/o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Per 1K tokens: input 217.5 points, output 870 points
per 1K tokens
This model always redirects to the latest model in the OpenAI GPT family.
~openai/gpt-latest
1,050,000
file / image / text
Per 1K tokens: input 7.75 points, output 46.51 points
per 1K tokens
This model always redirects to the latest model in the OpenAI GPT Mini family.
~openai/gpt-mini-latest
400,000
file / image / text
Per 1K tokens: input 1.24 points, output 7.43 points
per 1K tokens
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
openai/gpt-audio
128,000
text / audio
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
openai/gpt-audio-mini
128,000
text / audio
Per 1K tokens: input 0.99 points, output 3.96 points
per 1K tokens
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
openai/gpt-3.5-turbo
16,385
text
Per 1K tokens: input 0.9 points, output 2.7 points
per 1K tokens
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
openai/gpt-3.5-turbo-0613
4,095
text
Per 1K tokens: input 1.65 points, output 3.3 points
per 1K tokens
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
openai/gpt-3.5-turbo-16k
16,385
text
Per 1K tokens: input 4.95 points, output 6.6 points
per 1K tokens
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
openai/gpt-3.5-turbo-instruct
4,095
text
Per 1K tokens: input 2.48 points, output 3.3 points
per 1K tokens
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
openai/gpt-4
8,191
text
Per 1K tokens: input 43.51 points, output 87.01 points
per 1K tokens
GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.
openai/gpt-4-0314
8,191
text
Per 1K tokens: input 43.51 points, output 87.01 points
per 1K tokens
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
openai/gpt-4-turbo
128,000
text / image
Per 1K tokens: input 15.5 points, output 46.51 points
per 1K tokens
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.
openai/gpt-4-1106-preview
128,000
text
Per 1K tokens: input 15.5 points, output 46.51 points
per 1K tokens
The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...
openai/gpt-4-turbo-preview
128,000
text
Per 1K tokens: input 15.5 points, output 46.51 points
per 1K tokens
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
openai/gpt-4.1
1,047,576
image / text / file
Per 1K tokens: input 3.3 points, output 13.2 points
per 1K tokens
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
openai/gpt-4.1-mini
1,047,576
image / text / file
Per 1K tokens: input 0.72 points, output 2.88 points
per 1K tokens
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
openai/gpt-4.1-nano
1,047,576
image / text / file
Per 1K tokens: input 0.18 points, output 0.72 points
per 1K tokens
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
openai/gpt-4o
128,000
text / image / file
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
openai/gpt-4o-2024-05-13
128,000
text / image / file
Per 1K tokens: input 7.75 points, output 23.26 points
per 1K tokens
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
openai/gpt-4o-2024-08-06
128,000
text / image / file
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...
openai/gpt-4o-2024-11-20
128,000
text / image / file
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs...
openai/gpt-4o-audio-preview
128,000
audio / text
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
openai/gpt-4o-search-preview
128,000
text
Per 1K tokens: input 3.88 points, output 15.5 points
per 1K tokens
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
openai/gpt-4o-mini
128,000
text / image / file
Per 1K tokens: input 0.27 points, output 1.08 points
per 1K tokens
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
openai/gpt-4o-mini-2024-07-18
128,000
text / image / file
Per 1K tokens: input 0.27 points, output 1.08 points
per 1K tokens
GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
openai/gpt-4o-mini-search-preview
128,000
text
Per 1K tokens: input 0.27 points, output 1.08 points
per 1K tokens
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
openai/gpt-5
400,000
text / image / file
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
openai/gpt-5-chat
128,000
file / image / text
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5-codex
400,000
text / image
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
openai/gpt-5-image
400,000
image / text / file
Per 1K tokens: input 15.5 points, output 15.5 points
per 1K tokens
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...
openai/gpt-5-image-mini
400,000
file / image / text
Per 1K tokens: input 4.13 points, output 3.3 points
per 1K tokens
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
openai/gpt-5-mini
400,000
text / image / file
Per 1K tokens: input 0.42 points, output 3.3 points
per 1K tokens
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
openai/gpt-5-nano
400,000
text / image / file
Per 1K tokens: input 0.09 points, output 0.72 points
per 1K tokens
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
openai/gpt-5-pro
400,000
image / text / file
Per 1K tokens: input 21.76 points, output 174.01 points
per 1K tokens
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
openai/gpt-5.1
400,000
image / text / file
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
openai/gpt-5.1-chat
128,000
file / image / text
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5.1-codex
400,000
text / image
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...
openai/gpt-5.1-codex-max
400,000
text / image
Per 1K tokens: input 1.94 points, output 15.5 points
per 1K tokens
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
openai/gpt-5.1-codex-mini
400,000
image / text
Per 1K tokens: input 0.42 points, output 3.3 points
per 1K tokens
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
openai/gpt-5.2
400,000
file / image / text
Per 1K tokens: input 2.72 points, output 21.7 points
per 1K tokens
GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
openai/gpt-5.2-chat
128,000
file / image / text
Per 1K tokens: input 2.72 points, output 21.7 points
per 1K tokens
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
openai/gpt-5.2-pro
400,000
image / text / file
Per 1K tokens: input 30.45 points, output 243.6 points
per 1K tokens
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5.2-codex
400,000
text / image
Per 1K tokens: input 2.72 points, output 21.7 points
per 1K tokens
GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...
openai/gpt-5.3-chat
128,000
text / image / file
Per 1K tokens: input 2.72 points, output 21.7 points
per 1K tokens
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...
openai/gpt-5.3-codex
400,000
text / image / file
Per 1K tokens: input 2.72 points, output 21.7 points
per 1K tokens
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
openai/gpt-5.4
1,050,000
text / image / file
Per 1K tokens: input 3.88 points, output 23.26 points
per 1K tokens
[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...
openai/gpt-5.4-image-2
272,000
image / text / file
Per 1K tokens: input 12.4 points, output 23.26 points
per 1K tokens
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
openai/gpt-5.4-mini
400,000
file / image / text
Per 1K tokens: input 1.24 points, output 7.43 points
per 1K tokens
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
openai/gpt-5.4-nano
400,000
file / image / text
Per 1K tokens: input 0.36 points, output 2.25 points
per 1K tokens
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...
openai/gpt-5.4-pro
1,050,000
text / image / file
Per 1K tokens: input 43.51 points, output 261.01 points
per 1K tokens
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
openai/gpt-5.5
1,050,000
file / image / text
Per 1K tokens: input 7.75 points, output 46.51 points
per 1K tokens
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
openai/gpt-5.5-pro
1,050,000
file / image / text
Per 1K tokens: input 43.51 points, output 261.01 points
per 1K tokens
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
openai/gpt-oss-120b
131,072
text
Per 1K tokens: input 0.08 points, output 0.37 points
per 1K tokens
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
openai/gpt-oss-20b
131,072
text
Per 1K tokens: input 0.06 points, output 0.27 points
per 1K tokens
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
openai/gpt-oss-safeguard-20b
131,072
text
Per 1K tokens: input 0.14 points, output 0.54 points
per 1K tokens
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
openai/o1
200,000
text / image / file
Per 1K tokens: input 21.76 points, output 87.01 points
per 1K tokens
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
openai/o1-pro
200,000
text / image / file
Per 1K tokens: input 217.5 points, output 870 points
per 1K tokens
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
openai/o3
200,000
image / text / file
Per 1K tokens: input 3.3 points, output 13.2 points
per 1K tokens
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
openai/o3-deep-research
200,000
image / text / file
Per 1K tokens: input 14.5 points, output 58 points
per 1K tokens
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
openai/o3-mini
200,000
text / file
Per 1K tokens: input 1.82 points, output 7.26 points
per 1K tokens
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
openai/o3-mini-high
200,000
text / file
Per 1K tokens: input 1.82 points, output 7.26 points
per 1K tokens
~openai/gpt-latest
This model always redirects to the latest model in the OpenAI GPT family.
~openai/gpt-mini-latest
This model always redirects to the latest model in the OpenAI GPT Mini family.
openai/gpt-audio
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
openai/gpt-audio-mini
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
openai/gpt-3.5-turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
openai/gpt-3.5-turbo-0613
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
openai/gpt-3.5-turbo-16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...
openai/gpt-3.5-turbo-instruct
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
openai/gpt-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
openai/gpt-4-0314
GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 14. Training data: up to Sep 2021.
openai/gpt-4-turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
openai/gpt-4-1106-preview
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.
openai/gpt-4-turbo-preview
The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...
openai/gpt-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
openai/gpt-4.1-mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
openai/gpt-4.1-nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
openai/gpt-4o
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
openai/gpt-4o-2024-05-13
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
openai/gpt-4o-2024-08-06
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
openai/gpt-4o-2024-11-20
The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...
openai/gpt-4o-audio-preview
The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs...
openai/gpt-4o-search-preview
GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
openai/gpt-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
openai/gpt-4o-mini-2024-07-18
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
openai/gpt-4o-mini-search-preview
GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
openai/gpt-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
openai/gpt-5-chat
GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
openai/gpt-5-codex
GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5-image
[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
openai/gpt-5-image-mini
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...
openai/gpt-5-mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
openai/gpt-5-nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
openai/gpt-5-pro
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
openai/gpt-5.1
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
openai/gpt-5.1-chat
GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
openai/gpt-5.1-codex
GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5.1-codex-max
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...
openai/gpt-5.1-codex-mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
openai/gpt-5.2
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
openai/gpt-5.2-chat
GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
openai/gpt-5.2-pro
GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
openai/gpt-5.2-codex
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
openai/gpt-5.3-chat
GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...
openai/gpt-5.3-codex
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...
openai/gpt-5.4
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
openai/gpt-5.4-image-2
[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...
openai/gpt-5.4-mini
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
openai/gpt-5.4-nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
openai/gpt-5.4-pro
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...
openai/gpt-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
openai/gpt-5.5-pro
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
openai/gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
openai/gpt-oss-20b
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
openai/gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
openai/o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
openai/o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
openai/o3
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
openai/o3-deep-research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
openai/o3-mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
openai/o3-mini-high
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...