Model comparison

GPT-6.1 Sol vs Step 3.7 Flash

Step 3.7 Flash has enough public results to be ranked (#207); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Step 3.7 Flash StepFun

36.5

Rank #207 Reported

Summary

  • The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 39.4.
  • Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 256K.
  • Step 3.7 Flash has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Step 3.7 Flash specifications
GPT-6.1 SolStep 3.7 Flash
ProviderOpenAIStepFun
Noometry Index42.136.5
Released2026-09-292026-05-29
WeightsProprietaryOpen
Context window1.05M256K
Max output128K256K
Input $ / M tokens$2$0.18
Output $ / M tokens$10$1.11
Results tracked25

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 51.4, Step 3.7 Flash: 39.4 (#147)

Coding benchmarks
BenchmarkGPT-6.1 SolStep 3.7 Flash
DeepSWE75.2%—
SciCode—40%
ALE-Bench—694.12

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 34.3, Step 3.7 Flash: —

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolStep 3.7 Flash
GDP.pdf32%—

Reasoning Not comparable

GPT-6.1 Sol: —, Step 3.7 Flash: 20.9 (#211)

Reasoning benchmarks
BenchmarkGPT-6.1 SolStep 3.7 Flash
NYT Connections (extended)—39.7%
CritPt—2.3%

Math Not comparable

GPT-6.1 Sol: —, Step 3.7 Flash: 40.9 (#74)

Math benchmarks
BenchmarkGPT-6.1 SolStep 3.7 Flash
MathArena Final-Answer Competitions—68.5%

Frequently asked questions

Is GPT-6.1 Sol better than Step 3.7 Flash?

Step 3.7 Flash has enough public results to be ranked (#207); GPT-6.1 Sol does not yet, so treat this comparison as directional.

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

Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

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

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 39.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 256K.

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

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Step 3.7 Flash has 5.

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