Noometry

Model comparison

Gemini 1.0 Pro vs Mistral Large

Mistral Large is the stronger model overall, scoring 31.9 to 27.3 on the Noometry Index.

Last verified . 24 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 1 category and Mistral Large in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Large leads 30.1 to 15.6.
  • The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 50.3% for Mistral Large.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 ProMistral Large
ProviderGoogleMistral AI
Noometry Index27.331.9
Released2023-12-132024-02-26
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2451

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Category by category

Coding Mistral Large leads

Gemini 1.0 Pro: 32.2 (#275), Mistral Large: 34.3 (#240)

BenchmarkGemini 1.0 ProMistral Large
LMArena Coding11081277
HumanEval+55.5%62.2%
MBPP+61.4%59.5%
SciCode—36.2%
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
ALE-Bench—264.7

Agentic & Tool Use Not comparable

Gemini 1.0 Pro: —, Mistral Large: 28.6 (#89)

BenchmarkGemini 1.0 ProMistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning Gemini 1.0 Pro leads

Gemini 1.0 Pro: 17.1 (#296), Mistral Large: 15.8 (#310)

BenchmarkGemini 1.0 ProMistral Large
LMArena Hard Prompts11091257
DTBench45.9%65.1%
Epoch Capabilities Index117.04128.52
SimpleBench—22.5%
CritPt—0%
LiveBench Reasoning—43.5%
LiveBench Data Analysis—50.1%
LMCA—16.7%
ForecastBench—57.1
LiveBench—48.4%

Math Mistral Large leads

Gemini 1.0 Pro: 9.3 (#321), Mistral Large: 18.2 (#291)

BenchmarkGemini 1.0 ProMistral Large
OTIS Mock AIME 2024-20251.1%8.5%
LMArena Math11321262
MATH Level 511.2%50.3%
Omni-MATH—28.1%
LiveBench Math—42.5%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Mistral Large leads

Gemini 1.0 Pro: 15.6 (#291), Mistral Large: 30.1 (#230)

BenchmarkGemini 1.0 ProMistral Large
GPQA Diamond34%51.3%
LMArena Expert10591232
MMLU70%80%
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%

Multilingual Mistral Large leads

Gemini 1.0 Pro: 33.4 (#252), Mistral Large: 40.0 (#219)

BenchmarkGemini 1.0 ProMistral Large
LMArena Non-English11381237
LMArena Chinese11241240
LMArena French11451325
LMArena German11251254
LMArena Japanese10231188
LMArena Russian11861257
LMArena Spanish11191268
LMArena Korean—1202

Instruction Following Mistral Large leads

Gemini 1.0 Pro: 57.6 (#267), Mistral Large: 67.9 (#191)

BenchmarkGemini 1.0 ProMistral Large
LMArena Instruction Following11141249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Mistral Large leads

Gemini 1.0 Pro: 34.3 (#249), Mistral Large: 38.3 (#199)

BenchmarkGemini 1.0 ProMistral Large
LMArena Longer Query11321261

Writing & Preference Mistral Large leads

Gemini 1.0 Pro: 36.0 (#264), Mistral Large: 40.7 (#242)

BenchmarkGemini 1.0 ProMistral Large
LMArena Text11491266
LMArena Creative Writing11311243
LMArena Multi-Turn11391260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Gemini 1.0 Pro better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.9 to 27.3 on the Noometry Index.

Is Gemini 1.0 Pro or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 34.3 versus 32.2 in the Noometry coding category.

How many benchmarks do Gemini 1.0 Pro and Mistral Large share?

24 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Mistral Large has 51.

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