Released
4 Mar 2024
Status
Retired
Retired
5 Jan 2026
Context
200K
Max output
4.1K
Input per 1M tokens
$15.00
Output per 1M tokens
$75.00
Open weights
No
License
proprietary
Parameters
—
Knowledge cutoff
Aug 2023
Reasoning
No
Modalities
text, image → text

Category scores

Out of 100, from independent and third-party results only, by method category-2026-09-29.1.

Category scores
CategoryScoreRankCoverage
Knowledge & reasoning9.4973 of 4
Factuality & hallucination12.6651 of 1
Human preference25.7Not ranked2 of 5

Benchmark results

Every result we hold for this model, with who ran it and where it was published.

Knowledge & reasoning

Knowledge & reasoning results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
Chess PuzzlesPuzzles solved5.0%Independent—15 Jul 2026Epoch AI
DTBench (Decision Theory Benchmark)Accuracy (capability questions)61.6%Third party——https://conceptualreasoning.ai/dtbench via Epoch AI
LMCA (Language Model Conceptual Argumentation)Correlation with expert ratings (Pearson r)0.17Third party——https://conceptualreasoning.ai/lmca via Epoch AI
MMLUAccuracy84.6%Third party——Stanford CRFM Leaderboard via Epoch AI
SimpleBenchScore (AVG@5)23.5%Third party——SimpleBench Leaderboard via Epoch AI
WinoGrandeAccuracy88.5%Self-reported——The Claude 3 Model Family: Opus, Sonnet, Haiku via Epoch AI

Scientific reasoning

Scientific reasoning results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
GPQA DiamondAccuracy47.2%Independent—27 Jan 2025Epoch AI

Mathematics

Mathematics results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
MATH Level 5Accuracy37.5%Independent—27 Jan 2025Epoch AI
OTIS Mock AIME 2024-2025Accuracy4.7%Independent—25 Feb 2025Epoch AI

Coding & software engineering

Coding & software engineering results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
CybenchUnguided challenges solved10.0%Third party——Cybench leaderboard via Epoch AI
METR Time HorizonsAverage task success (Epoch's column)29.5%Third party——https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ via Epoch AI
WeirdML (v2)Average accuracy19.2%Third party——https://htihle.github.io/weirdml.html via Epoch AI

Factuality & hallucination

Factuality & hallucination results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
SimpleQA VerifiedAccuracy (% correct)12.6%Independent—31 Aug 2026Epoch AI

Human preference

Human preference results
BenchmarkMetricValueProvenanceSettingEvaluatedSource
Text Arena (arena.ai)Arena score (Elo scale)1322Independent—25 Sep 2026Arena
Text Arena (arena.ai)Votes194909Independent—25 Sep 2026Arena
Vision Arena (arena.ai)Arena score (Elo scale)1062Independent—28 Sep 2026Arena
Vision Arena (arena.ai)Votes15565Independent—28 Sep 2026Arena

Other Claude Opus versions

Sources