OpenAI's flagship GPT-5.6 model (top tier in the GPT-5.6 family alongside Terra and Luna). GA since July 9, 2026. State-of-the-art in coding (80 Coding Agent Index), knowledge work (53.6 Agents Last Exam), cyber and science. Pricing: $5 input / $30 output per 1M tokens.
Context window
400K tokens
tokens
Max output
128,000
tokens
Release date
9 July 2026
Access:APIHostedDeployment:โ Cloud
Overview
Applications
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
๐ Context: 400K tokens
โ Tools
๐ฅ Input: text, image, audio
Technical specification
Context window
400K tokens
tokens
Max output tokens
128,000
tokens per response
Knowledge cutoff
1 Nov 2025
Knowledge boundary
License
OpenAI proprietary (Terms of Use)
Hardware requirements
Model hosted exclusively in OpenAI's cloud (Azure OpenAI + OpenAI's own data centers). No self-hosting - closed weights. Customer access via the OpenAI API, Azure OpenAI, or the ChatGPT/Codex interfaces.
Features:โ Tool use
Modalities
โฌ Input
textimageaudio
โฌ Output
text
Capabilities and applications
Native model capabilities
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Multi-step reasoning
Carrying out multi-step chains of reasoning across long, complex tasks.
Category: reasoning
Advanced reasoning
The ability to perform multi-step, structured reasoning: analysing problems, planning steps, and drawing conclusions from hypotheses. Reasoning-first models (e.g. GPT-5.1 Thinking) dedicate a portion of inference to chains of thought before responding.
Category: reasoning
Adaptive reasoning effort
The model decides how much 'thinking' to allocate to a given query: simple questions are answered quickly, complex problems receive more inference cycles. A GPT-5.1 feature (both Instant and Thinking) that shortens time on easy tasks and extends it for hard ones.
Category: reasoning
Extended thinking mode
A reasoning-model variant with a larger inference budget: more thinking cycles, higher answer precision at the cost of response time. Choice between 'standard' and 'extended' thinking is left to the user (e.g. the selector in GPT-5.2 Pro).
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Agentic coding
Multi-hour, multi-step programming tasks performed autonomously by the model: cloning a repository, running tests, iterating on fixes, integrating with CLI tools. Characteristic of Codex variants (GPT-5.1-Codex-Mini, Codex-Max).
Category: coding
Agentic capability
The model's ability to autonomously plan and execute multi-step tasks by sequentially using tools, maintaining context, and adapting to intermediate results.
Category: planning
Multilingual
Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.
Category: language
Computer use
The model's ability to operate a computer interface by interpreting screenshots and generating actions such as clicks, typing, and navigating applications.
Category: planning
Chart understanding
Reading and interpreting charts, tables and diagrams.
Category: vision
Diagram reasoning
Category: reasoning
Function Calling
Category: planning
Streaming output
Category: reasoning
Benchmark results
10 benchmarks
Agents' Last Exam
score ยท Sol at max reasoning; +13.1 points vs Claude Fable 5 with adaptive reasoning; +11.4 points at medium reasoning at ~25 percent of Fable 5's cost.
53.6points
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
Artificial Analysis Coding Agent Index v1.1
index_score ยท Sol at max reasoning; SOTA, +2.8 points over Claude Fable 5, at less than half the output tokens, less than half the time, and ~1/3 the cost.
80points
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
SWE-Bench Pro
pass ยท Sol single-agent. Ultra multi-agent achieves higher scores. For comparison: Fable 5 = 80%, Opus 4.8 = 69.2%, GPT-5.5 = 59.4%.
64.6%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
Terminal-Bench 2.1
pass ยท Sol single-agent; Ultra reaches 91.9%. State-of-the-art for real terminal engineering workflows.
88.8%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
OSWorld 2.0
pass ยท State-of-the-art in computer use. Sol surpasses Claude Opus 4.8 at 85 percent fewer output tokens.
62.6%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
BrowseComp
pass ยท Sol Ultra multi-agent (16 agents); Sol single-agent = 90.4%. SOTA for agentic browsing tasks.
92.2%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
ExploitBench
pass ยท Progress from reaching vulnerable code through arbitrary code execution. GPT-5.5 = 47.9%.
73.5%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
GPQA Diamond
pass ยท Graduate-level physics/biology/chemistry. Key academic benchmark.
94.6%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
FrontierMath Tier 4 (v2)
pass ยท Hardest math tier at frontier level. Fable 5 = 87.8%.
83%
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
Artificial Analysis Intelligence Index v4.1
index_score ยท Sol at max reasoning; within 1 point of Fable 5 at 61 percent shorter time and ~half the cost.
58.9points
๐
9 Jul 2026๐ OpenAI GPT-5.6 Release
