Model comparison

Gemini 2.0 Pro vs Mixtral 8x7B

Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 27.1 on the Noometry Index.

Last verified . 3 shared benchmarks.

Gemini 2.0 Pro Google

39.1

Rank #173 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Gemini 2.0 Pro scores higher in 6 categories and Mixtral 8x7B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.0 Pro leads 36.5 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 83.5% for Gemini 2.0 Pro and 10% for Mixtral 8x7B.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.0 Pro and Mixtral 8x7B specifications
Gemini 2.0 ProMixtral 8x7B
ProviderGoogleMistral AI
Noometry Index39.127.1
Released2025-02-052023-12-11
WeightsProprietaryOpen
Context window—32K
Max output—32K
Input $ / M tokens—$0.70
Output $ / M tokens—$0.70
Results tracked1438

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Category by category

Coding Gemini 2.0 Pro leads

Gemini 2.0 Pro: 37.8 (#187), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
Aider Polyglot35.6%—
LiveBench Coding63.5%—
LMArena Coding—1126
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Gemini 2.0 Pro leads

Gemini 2.0 Pro: 22.3 (#198), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
Epoch Capabilities Index135.06118.47
EnigmaEval0.7%—
LiveBench Reasoning60.1%—
LMArena Hard Prompts—1115
DTBench—49.6%
LiveBench Data Analysis68%—
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
LiveBench65.1%—
PIQA—83.6%
WinoGrande—77.2%

Math Gemini 2.0 Pro leads

Gemini 2.0 Pro: 39.7 (#100), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
MATH Level 583.5%10%
Omni-MATH—10.5%
LiveBench Math71%—
LMArena Math—1147
GSM8K—74.4%

Knowledge Gemini 2.0 Pro leads

Gemini 2.0 Pro: 36.5 (#167), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
GPQA Diamond65.7%30.6%
MMLU-Pro—33.5%
Confabulations18.4%—
GPQA (HELM)—29.6%
LMArena Expert—1088
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Not comparable

Gemini 2.0 Pro: —, Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
LMArena Non-English—1077
LMArena Chinese—1055
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Russian—1090
LMArena Spanish—1111

Instruction Following Gemini 2.0 Pro leads

Gemini 2.0 Pro: 75.5 (#59), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
LiveBench Instruction Following83.4%—
IFEval—57.5%
LMArena Instruction Following—1109

Long Context Mixtral 8x7B leads

Gemini 2.0 Pro: 29.2 (#292), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
Fiction.LiveBench41.7%—
LMArena Longer Query—1103

Writing & Preference Gemini 2.0 Pro leads

Gemini 2.0 Pro: 52.7 (#165), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkGemini 2.0 ProMixtral 8x7B
LMArena Text—1132
LMArena Creative Writing—1109
WildBench—67.3%
LMArena Multi-Turn—1115
LiveBench Language44.9%—

Frequently asked questions

Is Gemini 2.0 Pro better than Mixtral 8x7B?

Gemini 2.0 Pro is the stronger model overall, scoring 39.1 to 27.1 on the Noometry Index.

Is Gemini 2.0 Pro or Mixtral 8x7B better for coding?

Gemini 2.0 Pro scores higher on coding benchmarks: 37.8 versus 32.8 in the Noometry coding category.

How many benchmarks do Gemini 2.0 Pro and Mixtral 8x7B share?

3 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and Mixtral 8x7B has 38.

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