Noometry

Model comparison

Gemini 2.5 Pro vs Mistral Large

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.9 on the Noometry Index.

Last verified . 45 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 45 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 30.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 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 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProMistral Large
ProviderGoogleMistral AI
Noometry Index45.031.9
Released2025-03-252024-02-26
WeightsProprietaryOpen
Context window1.05M131K
Max output66K16K
Input $ / M tokens$1.25$2
Output $ / M tokens$10$6
Results tracked7851

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Mistral Large: 34.3 (#240)

BenchmarkGemini 2.5 ProMistral Large
SciCode42.8%36.2%
LiveBench Coding85.9%47.1%
LMArena Coding14521277
ALE-Bench785.52264.7
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
GSO3.9%—
WeirdML54%—
BigCodeBench Instruct—30%
BigCodeBench Complete—38.3%
CadEval64%—
AlgoTune1.51—
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Too close to call

Gemini 2.5 Pro: 29.2 (#88), Mistral Large: 28.6 (#89)

BenchmarkGemini 2.5 ProMistral Large
Terminal-Bench32.6%—
Berkeley Function Calling Leaderboard—38.4%
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 Large: 15.8 (#310)

BenchmarkGemini 2.5 ProMistral Large
SimpleBench62.4%22.5%
CritPt2%0%
LiveBench Reasoning89.8%43.5%
LMArena Hard Prompts14551257
DTBench82.4%65.1%
LiveBench Data Analysis79.9%50.1%
LMCA34.8%16.7%
Epoch Capabilities Index145.32128.52
ForecastBench61.357.1
LiveBench82.3%48.4%
ARC-AGI-24.9%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
Chess Puzzles20%—
EnigmaEval5.6%—

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 32.5 (#213), Mistral Large: 18.2 (#291)

BenchmarkGemini 2.5 ProMistral Large
OTIS Mock AIME 2024-202584.7%8.5%
Omni-MATH41.6%28.1%
LiveBench Math90.2%42.5%
LMArena Math14501262
MATH Level 595.9%50.3%
FrontierMath (Feb 2025 set)14.1%0.3%
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Mistral Large: 30.1 (#230)

BenchmarkGemini 2.5 ProMistral Large
GPQA Diamond85.3%51.3%
MMLU-Pro86.3%59.9%
Confabulations10.6%21.4%
Vectara Hallucination Rate7%4.5%
GPQA (HELM)74.9%43.5%
LMArena Expert14521232
Humanity's Last Exam21.6%—
MMLU—80%

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Mistral Large: —

BenchmarkGemini 2.5 ProMistral Large
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Mistral Large: 40.0 (#219)

BenchmarkGemini 2.5 ProMistral Large
LMArena Non-English14511237
LMArena Chinese15071240
LMArena French14721325
LMArena German14871254
LMArena Japanese14611188
LMArena Korean14341202
LMArena Russian14611257
LMArena Spanish14731268

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Mistral Large: 67.9 (#191)

BenchmarkGemini 2.5 ProMistral Large
LiveBench Instruction Following80.6%67.9%
IFEval84%87.7%
LMArena Instruction Following14371249

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Mistral Large: 38.3 (#199)

BenchmarkGemini 2.5 ProMistral Large
LMArena Longer Query14491261
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Mistral Large: 40.7 (#242)

BenchmarkGemini 2.5 ProMistral Large
LMArena Text14581266
LMArena Creative Writing14541243
Short-Story Creative Writing83.8%69%
EQ-Bench Creative Writing1421985
WildBench85.7%80.1%
LMArena Multi-Turn14531260
LiveBench Language67.8%39.4%

Frequently asked questions

Is Gemini 2.5 Pro better than Mistral Large?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 31.9 on the Noometry Index.

Which is cheaper, Gemini 2.5 Pro or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Mistral Large better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Pro and Mistral Large share?

45 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mistral Large has 51.

Related comparisons

Go deeper