Model comparison

GPT-6.1 Sol vs Mistral Nemo

Mistral Nemo has enough public results to be ranked (#332); 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

Mistral Nemo Mistral AI

25.9

Rank #332 Confirmed

Summary

  • The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 23.3.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
  • Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Mistral Nemo specifications
GPT-6.1 SolMistral Nemo
ProviderOpenAIMistral AI
Noometry Index42.125.9
Released2026-09-292024-07-01
WeightsProprietaryOpen
Context window1.05M128K
Max output128K128K
Input $ / M tokens$2$0.15
Output $ / M tokens$10$0.15
Results tracked210

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Category by category

Coding Not comparable

GPT-6.1 Sol: 51.4, Mistral Nemo: —

Coding benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
DeepSWE75.2%—

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, Mistral Nemo: 23.3 (#118)

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%
GDP.pdf32%—

Reasoning Not comparable

GPT-6.1 Sol: —, Mistral Nemo: 19.9 (#230)

Reasoning benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
DTBench—48.6%
Epoch Capabilities Index—118.63
PIQA—83.5%

Math Not comparable

GPT-6.1 Sol: —, Mistral Nemo: 23.5 (#263)

Math benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge Not comparable

GPT-6.1 Sol: —, Mistral Nemo: 12.3 (#293)

Knowledge benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
GPQA Diamond—29.9%
BoolQ—82.5%

Writing & Preference Not comparable

GPT-6.1 Sol: —, Mistral Nemo: 28.6 (#291)

Writing & Preference benchmarks
BenchmarkGPT-6.1 SolMistral Nemo
EQ-Bench Creative Writing—881

Frequently asked questions

Is GPT-6.1 Sol better than Mistral Nemo?

Mistral Nemo has enough public results to be ranked (#332); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 128K.

How many benchmarks do GPT-6.1 Sol and Mistral Nemo share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Mistral Nemo has 10.

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