Noometry

Model comparison

Gemini 2.5 Pro vs Mistral Medium

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 36.3 on the Noometry Index.

Last verified . 32 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Mistral Medium Mistral AI

36.3

Rank #218 Confirmed

Summary

  • They share 32 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 10 categories and Mistral Medium in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 25.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 32.2% for Mistral Medium.
  • Mistral Medium 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 has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProMistral Medium
ProviderGoogleMistral AI
Noometry Index45.036.3
Released2025-03-252023-12-11
WeightsProprietaryOpen
Context window1.05M262K
Max output66K262K
Input $ / M tokens$1.25$1.50
Output $ / M tokens$10$7.50
Results tracked7836

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Mistral Medium: 34.2 (#243)

BenchmarkGemini 2.5 ProMistral Medium
SciCode42.8%40.2%
WeirdML54%43.7%
LMArena Coding14521434
ALE-Bench785.52763.98
SWE-bench Verified57.6%—
FrontierCode—8%
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
GSO3.9%—
LiveBench Coding85.9%—
CadEval64%—
AlgoTune1.51—

Agentic & Tool Use Too close to call

Gemini 2.5 Pro: 29.2 (#88), Mistral Medium: 28.3 (#90)

BenchmarkGemini 2.5 ProMistral Medium
Terminal-Bench32.6%—
Berkeley Function Calling Leaderboard—37.7%
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: 24.0 (#167)

BenchmarkGemini 2.5 ProMistral Medium
Kagi LLM Benchmark70.3%50%
CritPt2%0%
LMArena Hard Prompts14551426
DTBench82.4%75.5%
LMCA34.8%26.1%
ARC-AGI-24.9%—
SimpleBench62.4%—
ARC-AGI-141%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
LiveBench Data Analysis79.9%—
Surface Evolver Bench—26.9%
Epoch Capabilities Index145.32—
ForecastBench61.3—
LiveBench82.3%—

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 32.5 (#213), Mistral Medium: 28.1 (#245)

BenchmarkGemini 2.5 ProMistral Medium
OTIS Mock AIME 2024-202584.7%32.2%
LMArena Math14501408
MATH Level 595.9%81.6%
FrontierMath (Feb 2025 set)14.1%0.3%
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
ProofBench—9%
Omni-MATH41.6%—
LiveBench Math90.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Mistral Medium: 25.0 (#265)

BenchmarkGemini 2.5 ProMistral Medium
GPQA Diamond85.3%59.5%
Humanity's Last Exam21.6%4.5%
Vectara Hallucination Rate7%22.7%
LMArena Expert14521408
MMLU-Pro86.3%—
Confabulations10.6%—
GPQA (HELM)74.9%—

Multimodal Gemini 2.5 Pro leads

Gemini 2.5 Pro: 45.2 (#18), Mistral Medium: 35.3 (#88)

BenchmarkGemini 2.5 ProMistral Medium
LMArena Vision12631172
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Mistral Medium: 52.1 (#91)

BenchmarkGemini 2.5 ProMistral Medium
LMArena Non-English14511408
LMArena Chinese15071447
LMArena French14721459
LMArena German14871432
LMArena Japanese14611378
LMArena Korean14341380
LMArena Russian14611411
LMArena Spanish14731433

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Mistral Medium: 73.7 (#116)

BenchmarkGemini 2.5 ProMistral Medium
LMArena Instruction Following14371398
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Mistral Medium: 42.9 (#114)

BenchmarkGemini 2.5 ProMistral Medium
LMArena Longer Query14491406
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Mistral Medium: 60.0 (#103)

BenchmarkGemini 2.5 ProMistral Medium
LMArena Text14581424
LMArena Creative Writing14541391
Short-Story Creative Writing83.8%77.3%
LMArena Multi-Turn14531418
EQ-Bench Creative Writing1421—
WildBench85.7%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Mistral Medium?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 36.3 on the Noometry Index.

Which is cheaper, Gemini 2.5 Pro or Mistral Medium?

Mistral Medium 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 better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.2 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 share?

32 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Medium has 36.

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