Model comparison

Gemini 3.1 Pro Preview vs Mistral Medium 3.5

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.5× 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 . 21 shared benchmarks.

Gemini 3.1 Pro Preview Google

56.7

Rank #23 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and Mistral Medium 3.5 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 17.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.1 Pro Preview and 12.9% for Mistral Medium 3.5.
  • Mistral Medium 3.5 is cheaper at $1.50 / $7.50 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 262K.
  • Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

Gemini 3.1 Pro Preview and Mistral Medium 3.5 specifications
Gemini 3.1 Pro PreviewMistral Medium 3.5
ProviderGoogleMistral AI
Noometry Index56.740.2
Released2026-02-19—
WeightsProprietaryOpen
Context window1.05M262K
Max output66K210K
Input $ / M tokens$2$1.50
Output $ / M tokens$12$7.50
Results tracked7122

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Category by category

Coding Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 42.5 (#99), Mistral Medium 3.5: 36.0 (#213)

Coding benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena WebDev14471264
LMArena Coding14841461
SWE-bench Verified75.6%—
DeepSWE11.7%—
SciCode58.9%—
GSO22.6%—
WeirdML72.1%—
MirrorCode8.9%—
ALE-Bench1,161—
AlgoTune2.02—

Agentic & Tool Use Not comparable

Gemini 3.1 Pro Preview: 37.7 (#34), Mistral Medium 3.5: —

Agentic & Tool Use benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
Terminal-Bench80.2%—
APEX-Agents35.3%—
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 (#12), Mistral Medium 3.5: 17.3 (#295)

Reasoning benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
NYT Connections (extended)97.4%12.9%
LMArena Hard Prompts14851436
Epoch Capabilities Index154.77141.35
ARC-AGI-277.1%—
SimpleBench79.6%—
Kagi LLM Benchmark—41.4%
ARC-AGI-198%—
CritPt17.7%—
Chess Puzzles55%—
EnigmaEval36.8%—
Thematic Generalization79.4%—
EBR-Bench14.3%—
Mystery Game Puzzles34%—
DTBench97.1%—
LMCA53.8%—
ForecastBench59—

Math Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 62.1 (#34), Mistral Medium 3.5: 39.1 (#113)

Math benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Math14851431
FrontierMath (Tiers 1-3)59.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions86.5%—
OTIS Mock AIME 2024-202595.6%—
ProofBench26%—
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 Medium 3.5: 40.0 (#126)

Knowledge benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Expert14851432
GPQA Diamond94.4%—
Humanity's Last Exam46.4%—
SimpleQA Verified73.5%—
Vectara Hallucination Rate10.4%—

Multimodal Too close to call

Gemini 3.1 Pro Preview: 37.9 (#69), Mistral Medium 3.5: 38.3 (#65)

Multimodal benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Vision12961223
Blueprint-Bench 226.5%—
Furniture Assembly26.7%—
LMArena Document1444—

Multilingual Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 57.0 (#12), Mistral Medium 3.5: 51.9 (#100)

Multilingual benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Non-English14771404
LMArena Chinese15291442
LMArena French14871448
LMArena German14911451
LMArena Korean14551385
LMArena Russian14981395
LMArena Spanish14791409
LMArena Japanese1493—

Instruction Following Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 77.0 (#32), Mistral Medium 3.5: 74.6 (#90)

Instruction Following benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Instruction Following14661415

Long Context Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 47.4 (#18), Mistral Medium 3.5: 43.2 (#103)

Long Context benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Longer Query14831415
CL-bench20.8%—
CL-bench Life16.9%—

Writing & Preference Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 66.1 (#37), Mistral Medium 3.5: 58.5 (#117)

Writing & Preference benchmarks
BenchmarkGemini 3.1 Pro PreviewMistral Medium 3.5
LMArena Text14811421
LMArena Creative Writing14821374
EQ-Bench 41142993
LMArena Multi-Turn14881423
EQ-Bench Creative Writing1491—

Frequently asked questions

Is Gemini 3.1 Pro Preview better than Mistral Medium 3.5?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 1.5× 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 Medium 3.5?

Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

Is Gemini 3.1 Pro Preview or Mistral Medium 3.5 better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 3.1 Pro Preview and Mistral Medium 3.5 share?

21 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mistral Medium 3.5 has 22.

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