Noometry

Model comparison

Claude Opus 4 vs GPT-6.1 Sol

Claude Opus 4 has enough public results to be ranked (#93); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Claude Opus 4 Anthropic

42.9

Rank #93 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 47.8.
  • GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $15 / $75 for Claude Opus 4.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.

Side by side

Claude Opus 4GPT-6.1 Sol
ProviderAnthropicOpenAI
Noometry Index42.942.1
Released2025-05-222026-09-29
WeightsProprietaryProprietary
Context window200K1.05M
Max output32K128K
Input $ / M tokens$15$2
Output $ / M tokens$75$10
Results tracked562

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

Claude Opus 4: 47.8 (#55), GPT-6.1 Sol: 51.4

BenchmarkClaude Opus 4GPT-6.1 Sol
SWE-bench Verified70.7%—
DeepSWE—75.2%
SWE-bench Verified (bash only)67.6%—
Aider Polyglot72%—
GSO6.9%—
WeirdML43.7%—
LMArena Coding1442—
AlgoTune1.33—

Agentic & Tool Use Too close to call

Claude Opus 4: 34.5 (#39), GPT-6.1 Sol: 34.3

BenchmarkClaude Opus 4GPT-6.1 Sol
Cybench38%—
DeepResearch Bench46.8%—
GDP.pdf—32%
LMArena Search1127—
METR Time Horizons63.9%—

Reasoning Not comparable

Claude Opus 4: 27.4 (#104), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
ARC-AGI-28.6%—
SimpleBench58.8%—
Kagi LLM Benchmark74.3%—
ARC-AGI-135.7%—
CritPt0.3%—
EnigmaEval5.6%—
LMArena Hard Prompts1399—
DTBench81.6%—
LMCA37.4%—
Epoch Capabilities Index142.67—
ForecastBench61.1—

Math Not comparable

Claude Opus 4: 40.2 (#80), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
OTIS Mock AIME 2024-202564.4%—
Omni-MATH61.6%—
LMArena Math1391—
MATH Level 585%—
FrontierMath (Feb 2025 set)4.5%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Not comparable

Claude Opus 4: 43.9 (#82), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
GPQA Diamond76.3%—
Humanity's Last Exam10.7%—
MMLU-Pro87.5%—
Confabulations15.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)70.8%—
LMArena Expert1384—

Multimodal Not comparable

Claude Opus 4: 30.9 (#101), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
LMArena Vision1192—
GeoBench49%—
VPCT38%—

Multilingual Not comparable

Claude Opus 4: 49.0 (#133), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
LMArena Non-English1362—
LMArena Chinese1386—
LMArena French1370—
LMArena German1391—
LMArena Japanese1332—
LMArena Korean1318—
LMArena Russian1392—
LMArena Spanish1388—

Instruction Following Not comparable

Claude Opus 4: 77.3 (#26), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
IFEval91.8%—
LMArena Instruction Following1406—

Long Context Not comparable

Claude Opus 4: 39.5 (#167), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
Fiction.LiveBench61.1%—
LMArena Longer Query1422—

Writing & Preference Not comparable

Claude Opus 4: 61.4 (#85), GPT-6.1 Sol: —

BenchmarkClaude Opus 4GPT-6.1 Sol
LMArena Text1377—
LMArena Creative Writing1386—
Short-Story Creative Writing83.6%—
EQ-Bench Creative Writing1580—
WildBench85.2%—
LMArena Multi-Turn1396—

Frequently asked questions

Is Claude Opus 4 better than GPT-6.1 Sol?

Claude Opus 4 has enough public results to be ranked (#93); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, Claude Opus 4 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 lists at $15 and $75.

Is Claude Opus 4 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 47.8 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 and GPT-6.1 Sol share?

0 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and GPT-6.1 Sol has 2.

Related comparisons

Go deeper