Noometry

Model comparison

Claude Opus 4.7 vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 58.3 on the Noometry Index.

Last verified . 33 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 33 benchmarks with published results for both. Claude Opus 4.7 scores higher in 5 categories and GPT-6.1 Sol in 5 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 53.8.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 31.7% for Claude Opus 4.7 and 100% for GPT-6.1 Sol.
  • GPT-6.1 Sol is cheaper at $2 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.

Side by side

Claude Opus 4.7GPT-6.1 Sol
ProviderAnthropicOpenAI
Noometry Index58.365.6
Released2026-04-142026-09-29
WeightsProprietaryProprietary
Context window1M1.05M
Max output128K128K
Input $ / M tokens$5$2
Output $ / M tokens$25$10
Results tracked6634

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Category by category

Coding GPT-6.1 Sol leads

Claude Opus 4.7: 59.6 (#13), GPT-6.1 Sol: 63.2 (#8)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
FrontierCode38.5%50.2%
LMArena WebDev15581755
SciCode54.5%55.8%
LMArena Coding15181487
SWE-bench Verified83.5%—
DeepSWE—75.2%
GSO44.1%—
WeirdML76.4%—
MirrorCode31.1%—
ALE-Bench1,323—

Agentic & Tool Use Claude Opus 4.7 leads

Claude Opus 4.7: 47.9 (#10), GPT-6.1 Sol: 39.6 (#26)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
APEX-Agents49.2%60%
GDP.pdf21%32%
Terminal-Bench80.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning GPT-6.1 Sol leads

Claude Opus 4.7: 53.8 (#29), GPT-6.1 Sol: 81.9 (#2)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
ARC-AGI-275.8%94.2%
NYT Connections (extended)39%95.5%
ARC-AGI-193.5%98.5%
CritPt12%31.7%
Chess Puzzles30%61%
EBR-Bench19%54.3%
LMArena Hard Prompts15061466
Mystery Game Puzzles28%80%
Epoch Capabilities Index156.25166.09
SimpleBench61.7%—
Kagi LLM Benchmark80.7%—
Thematic Generalization72.8%—
DTBench94.7%—
LMCA52.2%—
ForecastBench60.3—

Math GPT-6.1 Sol leads

Claude Opus 4.7: 66.7 (#26), GPT-6.1 Sol: 93.7 (#1)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
FrontierMath (Tiers 1-3)70.2%93.7%
FrontierMath Tier 431.7%100%
OTIS Mock AIME 2024-202597.8%100%
ProofBench54%99%
LMArena Math14991464
MathArena Final-Answer Competitions73.6%—
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge GPT-6.1 Sol leads

Claude Opus 4.7: 62.6 (#23), GPT-6.1 Sol: 71.8 (#4)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
GPQA Diamond90.2%95.4%
SimpleQA Verified51.7%73.9%
LMArena Expert15211502
Humanity's Last Exam36.2%—
Vectara Hallucination Rate12%—

Multimodal GPT-6.1 Sol leads

Claude Opus 4.7: 41.2 (#38), GPT-6.1 Sol: 52.7 (#5)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
LMArena Vision13161288
Furniture Assembly33.3%80%
Blueprint-Bench 224.5%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), GPT-6.1 Sol: 54.3 (#46)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
LMArena Non-English14801438
LMArena Chinese15311477
LMArena Russian14941455
LMArena French1503—
LMArena German1495—
LMArena Japanese1472—
LMArena Korean1464—
LMArena Spanish1495—

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), GPT-6.1 Sol: 77.0 (#29)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
LMArena Instruction Following14981468

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), GPT-6.1 Sol: 44.9 (#54)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
LMArena Longer Query15051465

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), GPT-6.1 Sol: 63.6 (#63)

BenchmarkClaude Opus 4.7GPT-6.1 Sol
LMArena Text14901447
LMArena Creative Writing14861432
LMArena Multi-Turn15051449
EQ-Bench Creative Writing1914—
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 58.3 on the Noometry Index.

Which is cheaper, Claude Opus 4.7 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 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 59.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1M.

How many benchmarks do Claude Opus 4.7 and GPT-6.1 Sol share?

33 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and GPT-6.1 Sol has 34.

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