Model comparison

Gemini 2.5 Pro vs Mistral Medium 3.5

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 40.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemini 2.5 Pro 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 long context, where Gemini 2.5 Pro leads 59.8 to 43.2.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 41.4% for Mistral Medium 3.5.
  • Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro 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 2.5 Pro and Mistral Medium 3.5 specifications
Gemini 2.5 ProMistral Medium 3.5
ProviderGoogleMistral AI
Noometry Index45.040.2
Released2025-03-25—
WeightsProprietaryOpen
Context window1.05M262K
Max output66K210K
Input $ / M tokens$1.25$1.50
Output $ / M tokens$10$7.50
Results tracked7822

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Mistral Medium 3.5: 36.0 (#213)

Coding benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena WebDev12271264
LMArena Coding14521461
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
SciCode42.8%—
GSO3.9%—
WeirdML54%—
LiveBench Coding85.9%—
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Not comparable

Gemini 2.5 Pro: 29.2 (#88), Mistral Medium 3.5: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
Terminal-Bench32.6%—
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), Mistral Medium 3.5: 17.3 (#295)

Reasoning benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
Kagi LLM Benchmark70.3%41.4%
LMArena Hard Prompts14551436
Epoch Capabilities Index145.32141.35
ARC-AGI-24.9%—
SimpleBench62.4%—
NYT Connections (extended)—12.9%
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
ForecastBench61.3—
LiveBench82.3%—

Math Mistral Medium 3.5 leads

Gemini 2.5 Pro: 32.5 (#213), Mistral Medium 3.5: 39.1 (#113)

Math benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Math14501431
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
Omni-MATH41.6%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Mistral Medium 3.5: 40.0 (#126)

Knowledge benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Expert14521432
GPQA Diamond85.3%—
Humanity's Last Exam21.6%—
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—

Multimodal Gemini 2.5 Pro leads

Gemini 2.5 Pro: 45.2 (#18), Mistral Medium 3.5: 38.3 (#65)

Multimodal benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Vision12631223
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Mistral Medium 3.5: 51.9 (#100)

Multilingual benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Non-English14511404
LMArena Chinese15071442
LMArena French14721448
LMArena German14871451
LMArena Korean14341385
LMArena Russian14611395
LMArena Spanish14731409
LMArena Japanese1461—

Instruction Following Too close to call

Gemini 2.5 Pro: 75.0 (#75), Mistral Medium 3.5: 74.6 (#90)

Instruction Following benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Instruction Following14371415
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Mistral Medium 3.5: 43.2 (#103)

Long Context benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Longer Query14491415
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Mistral Medium 3.5: 58.5 (#117)

Writing & Preference benchmarks
BenchmarkGemini 2.5 ProMistral Medium 3.5
LMArena Text14581421
LMArena Creative Writing14541374
LMArena Multi-Turn14531423
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
WildBench85.7%—
EQ-Bench 4—993
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Mistral Medium 3.5?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 40.2 on the Noometry Index.

Which is cheaper, Gemini 2.5 Pro 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 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Mistral Medium 3.5 better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 2.5 Pro and Mistral Medium 3.5 share?

20 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Medium 3.5 has 22.

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