Noometry

Model comparison

Gemini 3.7 Flash vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 59.8 on the Noometry Index. Gemini 3.7 Flash costs 2.7× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 33 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 33 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 5 categories and GPT-6.1 Sol in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 69.6.
  • The biggest single-benchmark swing is FrontierMath Tier 4: 36.6% for Gemini 3.7 Flash and 100% for GPT-6.1 Sol.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.

Side by side

Gemini 3.7 FlashGPT-6.1 Sol
ProviderGoogleOpenAI
Noometry Index59.865.6
Released2026-08-132026-09-29
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output66K128K
Input $ / M tokens$0.75$2
Output $ / M tokens$3.75$10
Results tracked4434

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Category by category

Coding GPT-6.1 Sol leads

Gemini 3.7 Flash: 56.2 (#22), GPT-6.1 Sol: 63.2 (#8)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
DeepSWE65.5%75.2%
FrontierCode43.6%50.2%
LMArena WebDev15921755
SciCode59.8%55.8%
LMArena Coding14971487
FrontierSWE20.3%—
ALE-Bench904.3—

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GPT-6.1 Sol: 39.6 (#26)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
APEX-Agents67.8%60%
GDP.pdf23.8%32%
Remote Labor Index5%—

Reasoning GPT-6.1 Sol leads

Gemini 3.7 Flash: 70.0 (#15), GPT-6.1 Sol: 81.9 (#2)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
ARC-AGI-284.6%94.2%
NYT Connections (extended)94%95.5%
ARC-AGI-195.5%98.5%
CritPt14.3%31.7%
Chess Puzzles47%61%
LMArena Hard Prompts14941466
Mystery Game Puzzles37%80%
Epoch Capabilities Index157.27166.09
EBR-Bench—54.3%
DTBench96.8%—
LMCA50.4%—

Math GPT-6.1 Sol leads

Gemini 3.7 Flash: 69.6 (#23), GPT-6.1 Sol: 93.7 (#1)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
FrontierMath (Tiers 1-3)71.6%93.7%
FrontierMath Tier 436.6%100%
OTIS Mock AIME 2024-202597.2%100%
ProofBench58%99%
LMArena Math15071464

Knowledge GPT-6.1 Sol leads

Gemini 3.7 Flash: 69.7 (#5), GPT-6.1 Sol: 71.8 (#4)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
GPQA Diamond94.8%95.4%
SimpleQA Verified69.2%73.9%
LMArena Expert15081502

Multimodal GPT-6.1 Sol leads

Gemini 3.7 Flash: 37.3 (#73), GPT-6.1 Sol: 52.7 (#5)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
LMArena Vision13161288
Furniture Assembly26.7%80%

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GPT-6.1 Sol: 54.3 (#46)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
LMArena Non-English14841438
LMArena Chinese15481477
LMArena Russian15161455
LMArena French1505—
LMArena German1498—
LMArena Japanese1512—
LMArena Korean1483—
LMArena Spanish1503—

Instruction Following Too close to call

Gemini 3.7 Flash: 77.7 (#15), GPT-6.1 Sol: 77.0 (#29)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
LMArena Instruction Following14831468

Long Context Too close to call

Gemini 3.7 Flash: 45.7 (#30), GPT-6.1 Sol: 44.9 (#54)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
LMArena Longer Query14921465

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), GPT-6.1 Sol: 63.6 (#63)

BenchmarkGemini 3.7 FlashGPT-6.1 Sol
LMArena Text14861447
LMArena Creative Writing14901432
LMArena Multi-Turn14891449
EQ-Bench Creative Writing1723—

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 59.8 on the Noometry Index. Gemini 3.7 Flash costs 2.7× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 Flash or GPT-6.1 Sol?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is Gemini 3.7 Flash or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 56.2 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Gemini 3.7 Flash and GPT-6.1 Sol share?

33 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-6.1 Sol has 34.

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