Noometry

Model comparison

Gemini 2.5 Pro vs Mixtral 8x7B

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 4.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Gemini 2.5 Pro 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 2.5 Pro leads 56.0 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 95.9% for Gemini 2.5 Pro and 10% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProMixtral 8x7B
ProviderGoogleMistral AI
Noometry Index45.027.1
Released2025-03-252023-12-11
WeightsProprietaryOpen
Context window1.05M32K
Max output66K32K
Input $ / M tokens$1.25$0.70
Output $ / M tokens$10$0.70
Results tracked7838

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Mixtral 8x7B: 32.8 (#269)

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Coding14521126
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
SciCode42.8%—
GSO3.9%—
WeirdML54%—
LiveBench Coding85.9%—
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Gemini 2.5 Pro: 29.2 (#88), Mixtral 8x7B: —

BenchmarkGemini 2.5 ProMixtral 8x7B
Terminal-Bench32.6%—
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), Mixtral 8x7B: 18.2 (#285)

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Hard Prompts14551115
DTBench82.4%49.6%
Epoch Capabilities Index145.32118.47
ForecastBench61.356.3
ARC-AGI-24.9%—
SimpleBench62.4%—
Kagi LLM Benchmark70.3%—
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Adversarial NLI—55.2%
HellaSwag—86.7%
LiveBench82.3%—
PIQA—83.6%
WinoGrande—77.2%

Math Gemini 2.5 Pro leads

Gemini 2.5 Pro: 32.5 (#213), Mixtral 8x7B: 18.8 (#289)

BenchmarkGemini 2.5 ProMixtral 8x7B
Omni-MATH41.6%10.5%
LMArena Math14501147
MATH Level 595.9%10%
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
LiveBench Math90.2%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—74.4%

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Mixtral 8x7B: 11.0 (#301)

BenchmarkGemini 2.5 ProMixtral 8x7B
GPQA Diamond85.3%30.6%
MMLU-Pro86.3%33.5%
GPQA (HELM)74.9%29.6%
LMArena Expert14521088
Humanity's Last Exam21.6%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Mixtral 8x7B: —

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Mixtral 8x7B: 29.6 (#266)

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Non-English14511077
LMArena Chinese15071055
LMArena French14721166
LMArena German14871114
LMArena Japanese1461931
LMArena Korean1434968
LMArena Russian14611090
LMArena Spanish14731111

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Mixtral 8x7B: 51.0 (#297)

BenchmarkGemini 2.5 ProMixtral 8x7B
IFEval84%57.5%
LMArena Instruction Following14371109
LiveBench Instruction Following80.6%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Mixtral 8x7B: 33.4 (#260)

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Longer Query14491103
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Mixtral 8x7B: 34.2 (#270)

BenchmarkGemini 2.5 ProMixtral 8x7B
LMArena Text14581132
LMArena Creative Writing14541109
WildBench85.7%67.3%
LMArena Multi-Turn14531115
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Mixtral 8x7B?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 27.1 on the Noometry Index. Mixtral 8x7B costs 4.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Mixtral 8x7B better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 32K.

How many benchmarks do Gemini 2.5 Pro and Mixtral 8x7B share?

27 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mixtral 8x7B has 38.

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