Noometry

Model comparison

Claude Opus 4.1 vs GPT-6.1 Sol

Claude Opus 4.1 has enough public results to be ranked (#136); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Claude Opus 4.1 Anthropic

40.8

Rank #136 Confirmed

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Summary

  • The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 44.3.
  • GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.

Side by side

Claude Opus 4.1GPT-6.1 Sol
ProviderAnthropicOpenAI
Noometry Index40.842.1
Released2025-08-052026-09-29
WeightsProprietaryProprietary
Context window200K1.05M
Max output32K128K
Input $ / M tokens$15$2
Output $ / M tokens$75$10
Results tracked482

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Category by category

Coding GPT-6.1 Sol leads

Claude Opus 4.1: 44.3 (#69), GPT-6.1 Sol: 51.4

BenchmarkClaude Opus 4.1GPT-6.1 Sol
SWE-bench Verified73.3%—
DeepSWE—75.2%
LMArena WebDev1390—
WeirdML45.9%—
LMArena Coding1479—
ALE-Bench674.77—
AlgoTune1.34—

Agentic & Tool Use Too close to call

Claude Opus 4.1: 34.8 (#38), GPT-6.1 Sol: 34.3

BenchmarkClaude Opus 4.1GPT-6.1 Sol
Terminal-Bench38%—
GDPval43.6%—
Cybench42%—
DeepResearch Bench48.3%—
GDP.pdf—32%
LMArena Search1148—
METR Time Horizons66.8%—

Reasoning Not comparable

Claude Opus 4.1: 31.6 (#70), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
SimpleBench60%—
Chess Puzzles7%—
EnigmaEval7.2%—
EBR-Bench7.9%—
LMArena Hard Prompts1443—
Mystery Game Puzzles21%—
DTBench80%—
LMCA37.1%—
Epoch Capabilities Index144.11—
ForecastBench62—

Math Not comparable

Claude Opus 4.1: 22.0 (#267), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
FrontierMath (Tiers 1-3)12.6%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202568.9%—
LMArena Math1430—
FrontierMath (Feb 2025 set)7.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Not comparable

Claude Opus 4.1: 41.9 (#93), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
GPQA Diamond77.3%—
Humanity's Last Exam11.5%—
Confabulations17.1%—
Vectara Hallucination Rate11.8%—
LMArena Expert1439—

Multimodal Not comparable

Claude Opus 4.1: 26.2 (#114), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
VPCT35%—

Multilingual Not comparable

Claude Opus 4.1: 52.1 (#90), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
LMArena Non-English1405—
LMArena Chinese1427—
LMArena French1432—
LMArena German1412—
LMArena Japanese1378—
LMArena Korean1381—
LMArena Russian1421—
LMArena Spanish1448—

Instruction Following Not comparable

Claude Opus 4.1: 75.8 (#53), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
LMArena Instruction Following1436—

Long Context Not comparable

Claude Opus 4.1: 44.5 (#60), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
LMArena Longer Query1455—

Writing & Preference Not comparable

Claude Opus 4.1: 62.6 (#70), GPT-6.1 Sol: —

BenchmarkClaude Opus 4.1GPT-6.1 Sol
LMArena Text1419—
LMArena Creative Writing1412—
Short-Story Creative Writing84.7%—
LMArena Multi-Turn1444—

Frequently asked questions

Is Claude Opus 4.1 better than GPT-6.1 Sol?

Claude Opus 4.1 has enough public results to be ranked (#136); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, Claude Opus 4.1 or GPT-6.1 Sol?

GPT-6.1 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

Is Claude Opus 4.1 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 44.3 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 200K.

How many benchmarks do Claude Opus 4.1 and GPT-6.1 Sol share?

0 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-6.1 Sol has 2.

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