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GPT-5.1

GPT-5.1

5.1 · Family: GPT
OpenAI's 5-model family (Instant, Thinking, Codex-Mini, Codex-Max, Pro) released November 2025: adaptive reasoning, 400K context window, 8 personalities, apply_patch and shell tools.
✓ Active✓ Public accessFeaturedLLMMultimodalReasoning modelTool-using model📁 GPT
Context window
400K tokenów wejścia; 128K tokenów wyjścia
tokens
Parameters
Nieujawnione publicznie
parameters
Max output
128,000
tokens
Release date
12 November 2025
Access:APIHostedDeployment:☁ Cloud

Overview

GPT-5.1 is a family of five large language models from OpenAI's GPT-5 series, released in two waves in November 2025: the first three models (Instant, Thinking, Codex-Mini) on November 12, and two more (Codex-Max and Pro) one week later on November 19. The update stays within the GPT-5 generation but delivers meaningful improvements in intelligence, communication style, and personalisation.

Family variants

GPT-5.1 Instant — the most-used model, warmer and more conversational by default, better at following instructions. For the first time in an 'Instant' variant, adaptive reasoning appears: the model itself decides when to 'think' before responding to harder questions. In the API available as gpt-5.1-chat-latest.

GPT-5.1 Thinking — the advanced reasoning model, now more efficient and easier to understand in everyday use. Dynamically adapts thinking time to the query: about twice as fast on the easiest tasks and twice as slow on the hardest ones compared to GPT-5 Thinking. In the API as gpt-5.1.

GPT-5.1 Auto — a router that directs a query to the most appropriate variant without the user having to pick a model.

GPT-5.1 Pro — the top tier for professional and complex tasks, replacing GPT-5 Pro from November 19, 2025.

GPT-5.1-Codex-Mini — a cost-effective variant for coding and agentic tasks. Released November 12.

GPT-5.1-Codex-Max — a next-generation agentic coding model. It has internally documented completion of tasks lasting up to 24 hours. Released November 19.

Key capabilities

Adaptive reasoning — dynamic inference budget: faster for easy questions, more cycles for hard ones.

Long context of 400,000 input tokens and up to 128,000 output tokens.

New agentic tools: apply_patch (safe file modifications) and shell (executing system commands) — key for the Codex variants.

Extended prompt caching — lowers the cost of applications operating on long contexts.

8 personality options: Default, Friendly, Efficient, Professional, Candid, Quirky, Nerdy, Cynical. Plus experimental fine-grained tuning (concise, warm, scannable, emoji frequency) and the ability for ChatGPT to proactively offer to update preferences during a conversation.

Significantly better instruction following than GPT-5 — e.g. reliably sticking to constraints like 'reply in six words'.

Availability and pricing

Available to all ChatGPT users, rollout from paid (Pro, Plus, Go, Business) to free/logged-out. Enterprise and Edu have a 7-day early access toggle. GPT-5 (Instant and Thinking) remains in the 'legacy models dropdown' for 3 months for comparison. API pricing: USD 1.25 per 1M input tokens, USD 10 per 1M output tokens.

Reception and positioning

Reviewers describe GPT-5.1 as an 'incremental but meaningful improvement' (TechRadar). Tom's Guide praises mathematical reasoning and coding while noting that Gemini 3 performed better in a direct qualitative comparison. Inside OpenAI's lineup, GPT-5.1 is a standard mid-cycle update to the GPT-5 generation, preparing the ground for GPT-5.2 and further iterations within the family.

Classification
LLMMultimodalReasoning modelTool-using model
Family: GPT
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
📏 Context: 400K tokenów wejścia; 128K tokenów wyjścia
🧩 Parameters: Nieujawnione publicznie
Tools
📥 Input: text, image, documents

Technical specification

Context window
400K tokenów wejścia; 128K tokenów wyjścia
tokens
Parameters
Nieujawnione publicznie
parameters
Max output tokens
128,000
tokens per response
License
Proprietary (OpenAI Terms of Use; ChatGPT / API commercial terms)
Hardware requirements
Not applicable — the model is available only as hosted on the OpenAI API and in the ChatGPT products (Instant/Thinking/Pro/Auto/Codex). No on-device or local version.
Features:Tool use
Modalities
⬇ Input
textimagedocuments
⬆ Output
textcodestructured_data

Capabilities and applications

Native model capabilities
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
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
Tool use
The model's ability to call external functions, APIs and tools during a conversation: calculator, search engine, code editor, database. The model decides when and how to use a tool and interprets its result.
Category: planning
Long context
Support for large context windows — tens to hundreds of thousands (or millions) of input tokens. Enables analysis of entire codebases, long documents, and many parallel conversations without losing earlier information. GPT-5.1 supports 400,000 tokens.
Category: language
Instruction following
Precisely following instructions contained in the prompt: response format, length, style, constraints (e.g. 'reply in six words'). GPT-5.1 significantly improved this capability compared to GPT-5.
Category: language
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
Natural conversation
Conducting a conversation with a tone close to human: a warmer voice, empathy in emotional responses, humour, and avoiding the stiff 'AI assistant jargon'. Introduced as a deliberate improvement in GPT-5.1 Instant.
Category: language
Personality customization
The ability to tailor the model's response style and tone to the user's preferences via personality presets (e.g. Default, Friendly, Professional, Candid, Quirky, Efficient, Nerdy, Cynical) or fine-grained parameters (length, tone, emojis).
Category: language
Prompt caching
Cost-performance optimisation: repeated prompt fragments (e.g. system prompt, long documentation) are cached server-side and cheaper in subsequent calls. Significantly reduces cost for applications with long contexts.
Category: other
Shell and apply_patch tool use
The model's ability to invoke a system shell and the apply_patch tool to modify code files in agentic workflows. Characteristic of GPT-5.1 Codex variants (Mini, Max) and Claude Code / OpenCode-style pipelines.
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
Multimodal understanding
Category: multimodal

Benchmark results

1 benchmark
AIME 2025
score · adaptive reasoning enabled
znacznie lepszy niż GPT-5%
📅 12 Nov 2025📄 OpenAI blog post 'GPT-5.1: A smarter, more conversational ChatGPT' (2025-11-12)
OpenAI reports significant improvements in math and coding (AIME 2025, Codeforces) thanks to adaptive reasoning. A concrete numerical score was not published on the blog.

Pricing

Deployment and security

🔒 Security / Enterprise
✓ Verified enterprise information

OpenAI publishes a dedicated 'system card addendum' for GPT-5.1 covering its safety approach and safety testing. The model is available under ChatGPT Enterprise / Edu / Business with OpenAI's standard controls (SOC 2, GDPR, business terms). There is no separate enterprise-security feature list specific to the model itself — those belong to the platform layer (OpenAI API) and the products (ChatGPT).

The system card addendum complements the original GPT-5 system card with new risks and mitigations for GPT-5.1 (including adaptive reasoning, personality presets, tool use). Enterprise / Edu users get a 7-day early access toggle, off by default.
Updated: 13 Jul 2026↗ Security documentation