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OpenAI Proprietary Released Nov 13, 2025 Updated

GPT-5.1

ToolsGuide Scores, rankings, test results and price.

Model summary

  • Text #73 / 416

    427 / 1,000

    ToolsGuide Score· votes 437, tests 417

  • Vision #56 / 167

    444 / 1,000

    ToolsGuide Score· votes only

  • Coding #97 / 147

    280 / 1,000

    ToolsGuide Score· votes only

  • Price per 1M tokens

    In $1.25· Out $10.00

    $1.25

    Input · median text model $0.43

Summary

GPT-5.1 is OpenAI's model, released Nov 13, 2025. It's ranked in 3 categories and does best at text: #73 of 416, with a ToolsGuide Score of 427 against a median of 235.

It also ranks #56 of 167 for vision (444), #97 of 147 for coding (280).

Its vision and coding score uses votes only, because it has published fewer than two of the tests used for those categories.

It costs $1.25 per million input tokens and $10.00 per million output tokens, about 2.9× the median text model ($0.43).

It has published results on 9 tests.

Specifications

Creator
OpenAI
Licence
Proprietary
Released
Nov 13, 2025
Context window
400K tokens
Input price
$1.25 / 1M
Output price
$10.00 / 1M
Tests reported
9
Settings ranked
gpt-5.1-high, gpt-5.1, GPT-5.1 (High), GPT-5.1, GPT-5.1 (Medium)

Model comparison

Against the ten best text models.

Text score

ToolsGuide Score out of 1,000 · Higher is better

Vision score

ToolsGuide Score out of 1,000 · Higher is better

Input price

USD per 1M input tokens · Lower is better

Leaderboards

Where GPT-5.1 sits among the top 20 in each category.

Text

#73 of 416 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full text leaderboard →

Vision

#56 of 167 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full vision leaderboard →

Coding

#97 of 147 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full coding leaderboard →

By task

Scored from votes on each kind of prompt alone, on the same 1,000-point scale.

Score against price

Text · the 10 priced models ranked closest · up and to the left is better value

Against its nearest rivals

Text prompts by kind · ToolsGuide Score from votes · hover for values

Text

gpt-5.1-high · hover a bar for its rank

Vision

GPT-5.1 (High) · hover a bar for its rank

Coding

GPT-5.1 (Medium) · hover a bar for its rank

Test results

Every test GPT-5.1 has a published result on, out of 100%, with its rank among the models that took it.

  • GPQA

    #41 / 256

    Graduate-level science questions written to be hard to look up.

    88.1%

    Self-reported

  • AIME 2025

    #26 / 123

    Competition maths problems from the 2025 American Invitational Mathematics Exam.

    94.0%

    Self-reported

  • SWE-Bench Verified

    #34 / 120

    Fixing real bugs in real GitHub projects, checked by the projects' own tests.

    76.3%

    Self-reported

  • MMMU

    #2 / 66

    MMMU (Massive Multi-discipline Multimodal Understanding) is a benchmark designed to evaluate multimodal models on college-level subject knowledge and deliberate reasoning. Contains 11.5K meticulously collected multimodal questions from college exams, quizzes, and textbooks, covering six core disciplines: Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering across 30 subjects and 183 subfields.

    85.4%

    Self-reported

  • Tau2 Telecom

    #10 / 36

    τ²-Bench telecom domain evaluates conversational agents in a dual-control environment modeled as a Dec-POMDP, where both agent and user use tools in shared telecommunications troubleshooting scenarios that test coordination and communication capabilities.

    95.6%

    Self-reported

  • Tau2 Retail

    #10 / 27

    τ²-bench retail domain evaluates conversational AI agents in customer service scenarios within a dual-control environment where both agent and user can interact with tools. Tests tool-agent-user interaction, rule adherence, and task consistency in retail customer support contexts.

    77.9%

    Self-reported

  • Tau2 Airline

    #4 / 25

    TAU2 airline domain benchmark for evaluating conversational agents in dual-control environments where both AI agents and users interact with tools in airline customer service scenarios. Tests agent coordination, communication, and ability to guide user actions in tasks like flight booking, modifications, cancellations, and refunds.

    67.0%

    Self-reported

  • FrontierMath

    #8 / 17

    A benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians, covering most major branches of modern mathematics from number theory and real analysis to algebraic geometry and category theory.

    26.7%

    Self-reported

  • BrowseComp Long Context 128k

    #2 / 5

    A challenging benchmark for evaluating web browsing agents' ability to persistently navigate the internet and find hard-to-locate, entangled information. Comprises 1,266 questions requiring strategic reasoning, creative search, and interpretation of retrieved content, with short and easily verifiable answers.

    90.0%

    Self-reported