Model comparison

Gemini 3.1 Pro Preview vs Mistral Small

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 33.1 on the Noometry Index. Mistral Small costs 17× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Last verified . 26 shared benchmarks.

Gemini 3.1 Pro Preview Google

56.7

Rank #20 Confirmed

Mistral Small Mistral AI

33.1

Rank #238 Confirmed

Summary

  • They share 26 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 19.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 5.8% for Mistral Small.
  • Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
  • Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 256K.
  • Mistral Small has downloadable open weights; the other is API-only.

Side by side

Gemini 3.1 Pro Preview and Mistral Small specifications
Gemini 3.1 Pro PreviewMistral Small
ProviderGoogleMistral AI
Noometry Index56.733.1
Released2026-02-192024-02-26
WeightsProprietaryOpen
Context window1.05M256K
Max output66K256K
Input $ / M tokens$2$0.15
Output $ / M tokens$12$0.60
Results tracked7139

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Category by category

Coding Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 42.7 (#88), Mistral Small: 33.5 (#242)

Coding benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
SciCode58.9%26.5%
LMArena Coding14831363
ALE-Bench1,161497.62
SWE-bench Verified75.6%—
DeepSWE11.7%—
LMArena WebDev1446—
GSO22.6%—
WeirdML72.1%—
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
MirrorCode8.9%—
BigCodeBench Complete—46.6%
AlgoTune2.02—

Agentic & Tool Use Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 37.7 (#33), Mistral Small: 27.9 (#87)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
Terminal-Bench80.2%—
APEX-Agents35.3%—
Berkeley Function Calling Leaderboard—37.1%
τ²-bench Banking26%—
DeepResearch Bench47.8%—
PostTrainBench22%—
BALROG57%—
ExploitBench26.1%—
GBAEval0.8%—
GDP.pdf17%—
LMArena Search1211—
METR Time Horizons77%—
Vending-Bench 23,774—

Reasoning Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.7 (#9), Mistral Small: 19.3 (#238)

Reasoning benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
CritPt17.7%0%
LMArena Hard Prompts14841336
DTBench97.1%70.9%
LMCA53.8%20.6%
ARC-AGI-277.1%—
SimpleBench79.6%—
Kagi LLM Benchmark—37.8%
NYT Connections (extended)97.4%—
ARC-AGI-198%—
Chess Puzzles55%—
EnigmaEval36.8%—
Thematic Generalization79.4%—
EBR-Bench14.3%—
LiveBench Reasoning—44.8%
Mystery Game Puzzles34%—
LiveBench Data Analysis—53.7%
Epoch Capabilities Index154.92—
ForecastBench59—
LiveBench—44%

Math Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 61.8 (#28), Mistral Small: 15.4 (#287)

Math benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
OTIS Mock AIME 2024-202595.6%5.8%
LMArena Math14851341
FrontierMath (Tiers 1-3)59.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions86.5%—
ProofBench26%—
LiveBench Math—39.9%
MATH Level 5—46.8%
FrontierMath (Feb 2025 set)36.9%—
FrontierMath Tier 4 (v1)16.7%—

Knowledge Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.8 (#3), Mistral Small: 30.9 (#214)

Knowledge benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
GPQA Diamond94.4%47.5%
Vectara Hallucination Rate10.4%5.1%
LMArena Expert14841293
Humanity's Last Exam46.4%—
SimpleQA Verified73.5%—
MMLU—68.7%

Multimodal Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 38.1 (#60), Mistral Small: 32.9 (#91)

Multimodal benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
LMArena Vision12961142
Blueprint-Bench 226.5%—
Furniture Assembly26.7%—
LMArena Document1444—

Multilingual Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 57.1 (#11), Mistral Small: 45.7 (#164)

Multilingual benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
LMArena Non-English14751315
LMArena Chinese15281342
LMArena French14881337
LMArena German14911341
LMArena Japanese14941275
LMArena Korean14581260
LMArena Russian14961324
LMArena Spanish14801346

Instruction Following Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 77.1 (#31), Mistral Small: 66.6 (#204)

Instruction Following benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
LMArena Instruction Following14651310
LiveBench Instruction Following—63.7%

Long Context Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 47.3 (#17), Mistral Small: 40.4 (#151)

Long Context benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
LMArena Longer Query14821327
CL-bench20.8%—
CL-bench Life16.9%—

Writing & Preference Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 66.3 (#36), Mistral Small: 52.6 (#165)

Writing & Preference benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Small
LMArena Text14801338
LMArena Creative Writing14821304
LMArena Multi-Turn14861344
EQ-Bench Creative Writing1491—
EQ-Bench 41142—
LiveBench Language—30.5%

Frequently asked questions

Is Gemini 3.1 Pro Preview better than Mistral Small?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 33.1 on the Noometry Index. Mistral Small costs 17× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.1 Pro Preview or Mistral Small?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

Is Gemini 3.1 Pro Preview or Mistral Small better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 33.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 256K.

How many benchmarks do Gemini 3.1 Pro Preview and Mistral Small share?

26 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral Small has 39.

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