Skip to content

OpenAI Proprietary Released Nov 19, 2025 Updated

GPT-5.1 Codex

ToolsGuide Scores, rankings, test results and price.

Model summary

  • Coding #116 / 147

    252 / 1,000

    ToolsGuide Score· votes 242, tests 268

  • Price per 1M tokens

    No listed price

Summary

GPT-5.1 Codex is OpenAI's model, released Nov 19, 2025. It's ranked in 1 category and does best at coding: #116 of 147, with a ToolsGuide Score of 252 against a median of 316.

It has published results on 3 tests and has the top score on 1 of them, including SWE-Lancer.

Specifications

Creator
OpenAI
Licence
Proprietary
Released
Nov 19, 2025
Context window
–
Input price
–
Output price
–
Tests reported
3
Settings ranked
GPT-5.1-Codex

Model comparison

Against the ten best coding models.

Coding 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 Codex sits among the top 20 in each category.

Coding

#116 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.

Coding

GPT-5.1-Codex · hover a bar for its rank

Test results

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

  • SWE-Bench Verified

    #46 / 120

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

    73.7%

    Self-reported

  • Terminal-Bench 2.0

    #32 / 54

    Getting real work done in a command-line terminal.

    52.8%

    Self-reported

  • SWE-Lancer

    #1 / 4

    A benchmark for evaluating large language models on real-world freelance software engineering tasks from Upwork. Contains over 1,400 tasks valued at $1 million USD total, ranging from $50 bug fixes to $32,000 feature implementations. Includes both independent engineering tasks graded via end-to-end tests and managerial tasks assessed against original engineering managers' choices.

    66.3%

    Self-reported