Model comparison

Gemini 3.7 Flash vs Mixtral 8x7B

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.1× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 3.7 Flash leads 69.7 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 94.8% for Gemini 3.7 Flash and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 Flash and Mixtral 8x7B specifications
Gemini 3.7 FlashMixtral 8x7B
ProviderGoogleMistral AI
Noometry Index59.827.1
Released2026-08-132023-12-11
WeightsProprietaryOpen
Context window1.05M32K
Max output66K32K
Input $ / M tokens$0.75$0.70
Output $ / M tokens$3.75$0.70
Results tracked4438

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Coding14971126
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1592—
FrontierSWE20.3%—
SciCode59.8%—
ALE-Bench904.3—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Gemini 3.7 Flash: 42.1 (#19), Mixtral 8x7B: —

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
APEX-Agents67.8%—
Remote Labor Index5%—
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Hard Prompts14941115
DTBench96.8%49.6%
Epoch Capabilities Index157.27118.47
ARC-AGI-284.6%—
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Chess Puzzles47%—
Mystery Game Puzzles37%—
LMCA50.4%—
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Math15071147
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
OTIS Mock AIME 2024-202597.2%—
ProofBench58%—
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
GPQA Diamond94.8%30.6%
LMArena Expert15081088
SimpleQA Verified69.2%—
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Gemini 3.7 Flash: 37.3 (#73), Mixtral 8x7B: —

Multimodal benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Vision1316—
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Non-English14841077
LMArena Chinese15481055
LMArena French15051166
LMArena German14981114
LMArena Japanese1512931
LMArena Korean1483968
LMArena Russian15161090
LMArena Spanish15031111

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 77.7 (#15), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Instruction Following14831109
IFEval—57.5%

Long Context Gemini 3.7 Flash leads

Gemini 3.7 Flash: 45.7 (#30), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Longer Query14921103

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashMixtral 8x7B
LMArena Text14861132
LMArena Creative Writing14901109
LMArena Multi-Turn14891115
EQ-Bench Creative Writing1723—
WildBench—67.3%

Frequently asked questions

Is Gemini 3.7 Flash better than Mixtral 8x7B?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.1× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 Flash or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or Mixtral 8x7B better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 32K.

How many benchmarks do Gemini 3.7 Flash and Mixtral 8x7B share?

20 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Mixtral 8x7B has 38.

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