Noometry

Model comparison

Gemini 3.1 Pro Preview vs Mixtral 8x22B

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 27.1 on the Noometry Index. Mixtral 8x22B costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Gemini 3.1 Pro Preview Google

56.7

Rank #23 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 3.1 Pro Preview leads 71.8 to 15.1.
  • The biggest single-benchmark swing is WeirdML: 72.1% for Gemini 3.1 Pro Preview and 3.2% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
  • Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Gemini 3.1 Pro PreviewMixtral 8x22B
ProviderGoogleMistral AI
Noometry Index56.727.1
Released2026-02-192024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output66K64K
Input $ / M tokens$2$2
Output $ / M tokens$12$6
Results tracked7134

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Category by category

Coding Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 42.5 (#99), Mixtral 8x22B: 24.2 (#329)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
WeirdML72.1%3.2%
LMArena Coding14841166
SWE-bench Verified75.6%—
DeepSWE11.7%—
LMArena WebDev1447—
SciCode58.9%—
GSO22.6%—
BigCodeBench Instruct—40.6%
MirrorCode8.9%—
BigCodeBench Complete—50.2%
ALE-Bench1,161—
AlgoTune2.02—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 37.7 (#34), Mixtral 8x22B: 23.1 (#127)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
Terminal-Bench80.2%—
APEX-Agents35.3%—
τ²-bench Banking26%—
Cybench—7.5%
DeepResearch Bench47.8%—
PostTrainBench22%—
BALROG57%—
ExploitBench26.1%—
GBAEval0.8%—
GDP.pdf17%—
LMArena Search1211—
METR Time Horizons77%—
Vending-Bench 23,774—

Reasoning Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.7 (#12), Mixtral 8x22B: 19.9 (#248)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Hard Prompts14851150
DTBench97.1%55.1%
Epoch Capabilities Index154.77122.03
ForecastBench5956.3
ARC-AGI-277.1%—
SimpleBench79.6%—
NYT Connections (extended)97.4%—
ARC-AGI-198%—
CritPt17.7%—
Chess Puzzles55%—
EnigmaEval36.8%—
Thematic Generalization79.4%—
EBR-Bench14.3%—
Mystery Game Puzzles34%—
LMCA53.8%—

Math Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 62.1 (#34), Mixtral 8x22B: 22.9 (#275)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Math14851184
FrontierMath (Tiers 1-3)59.6%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions86.5%—
OTIS Mock AIME 2024-202595.6%—
ProofBench26%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)36.9%—
FrontierMath Tier 4 (v1)16.7%—

Knowledge Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.8 (#3), Mixtral 8x22B: 15.1 (#293)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
GPQA Diamond94.4%34.1%
LMArena Expert14851113
Humanity's Last Exam46.4%—
SimpleQA Verified73.5%—
MMLU-Pro—46%
Vectara Hallucination Rate10.4%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Gemini 3.1 Pro Preview: 37.9 (#69), Mixtral 8x22B: —

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Vision1296—
Blueprint-Bench 226.5%—
Furniture Assembly26.7%—
LMArena Document1444—

Multilingual Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 57.0 (#12), Mixtral 8x22B: 32.8 (#255)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Non-English14771128
LMArena Chinese15291116
LMArena French14871166
LMArena German14911141
LMArena Japanese14931037
LMArena Korean14551057
LMArena Russian14981158
LMArena Spanish14791151

Instruction Following Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 77.0 (#32), Mixtral 8x22B: 57.7 (#266)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Instruction Following14661147
IFEval—72.4%

Long Context Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 47.4 (#18), Mixtral 8x22B: 34.7 (#247)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Longer Query14831144
CL-bench20.8%—
CL-bench Life16.9%—

Writing & Preference Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 66.1 (#37), Mixtral 8x22B: 36.9 (#262)

BenchmarkGemini 3.1 Pro PreviewMixtral 8x22B
LMArena Text14811162
LMArena Creative Writing14821141
LMArena Multi-Turn14881130
EQ-Bench Creative Writing1491—
WildBench—71.1%
EQ-Bench 41142—

Frequently asked questions

Is Gemini 3.1 Pro Preview better than Mixtral 8x22B?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 27.1 on the Noometry Index. Mixtral 8x22B costs 1.5× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.1 Pro Preview or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

Is Gemini 3.1 Pro Preview or Mixtral 8x22B better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 64K.

How many benchmarks do Gemini 3.1 Pro Preview and Mixtral 8x22B share?

22 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Mixtral 8x22B has 34.

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