Noometry

Model comparison

GPT-6.1 Sol vs Mistral Small 3

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 70× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 16.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6.1 Sol and 6.7% for Mistral Small 3.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 33K.
  • Mistral Small 3 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolMistral Small 3
ProviderOpenAIMistral AI
Noometry Index65.631.2
Released2026-09-292025-01-30
WeightsProprietaryOpen
Context window1.05M33K
Max output128K16K
Input $ / M tokens$2$0.05
Output $ / M tokens$10$0.08
Results tracked3424

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Mistral Small 3: 36.5 (#207)

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Coding14871246
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Mistral Small 3: —

BenchmarkGPT-6.1 SolMistral Small 3
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Mistral Small 3: 18.9 (#273)

BenchmarkGPT-6.1 SolMistral Small 3
Chess Puzzles61%0%
LMArena Hard Prompts14661233
Epoch Capabilities Index166.09127.07
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Mistral Small 3: 16.3 (#295)

BenchmarkGPT-6.1 SolMistral Small 3
OTIS Mock AIME 2024-2025100%6.7%
LMArena Math14641240
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
ProofBench99%—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Mistral Small 3: 25.1 (#263)

BenchmarkGPT-6.1 SolMistral Small 3
GPQA Diamond95.4%47.3%
LMArena Expert15021202
SimpleQA Verified73.9%—
Confabulations—25.2%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Mistral Small 3: —

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Mistral Small 3: 37.3 (#236)

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Non-English14381198
LMArena Chinese14771204
LMArena Russian14551216
LMArena French—1203
LMArena German—1211
LMArena Japanese—1111
LMArena Korean—1188

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Mistral Small 3: 63.7 (#229)

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Instruction Following14681214

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Mistral Small 3: 37.8 (#211)

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Longer Query14651246

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Mistral Small 3: 32.2 (#280)

BenchmarkGPT-6.1 SolMistral Small 3
LMArena Text14471234
LMArena Creative Writing14321195
LMArena Multi-Turn14491217
EQ-Bench Creative Writing—707

Frequently asked questions

Is GPT-6.1 Sol better than Mistral Small 3?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 31.2 on the Noometry Index. Mistral Small 3 costs 70× 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, GPT-6.1 Sol or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Mistral Small 3 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 33K.

How many benchmarks do GPT-6.1 Sol and Mistral Small 3 share?

16 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral Small 3 has 24.

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