Noometry

Model comparison

Gemini 1.0 Pro vs Mixtral 8x22B

Gemini 1.0 Pro and Mixtral 8x22B score almost the same on the Noometry Index (27.3 vs 27.1), so choose on price, context window or the category you care about most.

Last verified . 23 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 3 categories and Mixtral 8x22B in 5 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mixtral 8x22B leads 22.9 to 9.3.
  • The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 24.2% for Mixtral 8x22B.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 ProMixtral 8x22B
ProviderGoogleMistral AI
Noometry Index27.327.1
Released2023-12-132024-04-17
WeightsProprietaryOpen
Context window—64K
Max output—64K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2434

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Category by category

Coding Gemini 1.0 Pro leads

Gemini 1.0 Pro: 32.2 (#275), Mixtral 8x22B: 24.2 (#329)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Coding11081166
HumanEval+55.5%72%
MBPP+61.4%64.3%
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%

Agentic & Tool Use Not comparable

Gemini 1.0 Pro: —, Mixtral 8x22B: 23.1 (#127)

BenchmarkGemini 1.0 ProMixtral 8x22B
Cybench—7.5%

Reasoning Mixtral 8x22B leads

Gemini 1.0 Pro: 17.1 (#296), Mixtral 8x22B: 19.9 (#248)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Hard Prompts11091150
DTBench45.9%55.1%
Epoch Capabilities Index117.04122.03
ForecastBench—56.3

Math Mixtral 8x22B leads

Gemini 1.0 Pro: 9.3 (#321), Mixtral 8x22B: 22.9 (#275)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Math11321184
MATH Level 511.2%24.2%
OTIS Mock AIME 2024-20251.1%—
Omni-MATH—16.3%

Knowledge Too close to call

Gemini 1.0 Pro: 15.6 (#291), Mixtral 8x22B: 15.1 (#293)

BenchmarkGemini 1.0 ProMixtral 8x22B
GPQA Diamond34%34.1%
LMArena Expert10591113
MMLU70%77.8%
MMLU-Pro—46%
GPQA (HELM)—33.4%

Multilingual Too close to call

Gemini 1.0 Pro: 33.4 (#252), Mixtral 8x22B: 32.8 (#255)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Non-English11381128
LMArena Chinese11241116
LMArena French11451166
LMArena German11251141
LMArena Japanese10231037
LMArena Russian11861158
LMArena Spanish11191151
LMArena Korean—1057

Instruction Following Too close to call

Gemini 1.0 Pro: 57.6 (#267), Mixtral 8x22B: 57.7 (#266)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Instruction Following11141147
IFEval—72.4%

Long Context Too close to call

Gemini 1.0 Pro: 34.3 (#249), Mixtral 8x22B: 34.7 (#247)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Longer Query11321144

Writing & Preference Too close to call

Gemini 1.0 Pro: 36.0 (#264), Mixtral 8x22B: 36.9 (#262)

BenchmarkGemini 1.0 ProMixtral 8x22B
LMArena Text11491162
LMArena Creative Writing11311141
LMArena Multi-Turn11391130
WildBench—71.1%

Frequently asked questions

Is Gemini 1.0 Pro better than Mixtral 8x22B?

Gemini 1.0 Pro and Mixtral 8x22B score almost the same on the Noometry Index (27.3 vs 27.1), so choose on price, context window or the category you care about most.

Is Gemini 1.0 Pro or Mixtral 8x22B better for coding?

Gemini 1.0 Pro scores higher on coding benchmarks: 32.2 versus 24.2 in the Noometry coding category.

How many benchmarks do Gemini 1.0 Pro and Mixtral 8x22B share?

23 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Mixtral 8x22B has 34.

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