Noometry

Model comparison

GPT-4.5 vs Mixtral 8x22B

GPT-4.5 is the stronger model overall, scoring 37.2 to 27.1 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-4.5 scores higher in 8 categories and Mixtral 8x22B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 36.9.
  • The biggest single-benchmark swing is MATH Level 5: 78.6% for GPT-4.5 and 24.2% for Mixtral 8x22B.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-4.5Mixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index37.227.1
Released2025-02-272024-04-17
WeightsProprietaryOpen
Context window—64K
Max output—64K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked4234

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Category by category

Coding GPT-4.5 leads

GPT-4.5: 42.2 (#109), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-4.5Mixtral 8x22B
WeirdML39.4%3.2%
LMArena Coding13961166
Aider Polyglot44.9%—
BigCodeBench Instruct—40.6%
LiveBench Coding75.2%—
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-4.5 leads

GPT-4.5: 27.9 (#97), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-4.5Mixtral 8x22B
Cybench17.5%7.5%

Reasoning Mixtral 8x22B leads

GPT-4.5: 13.9 (#330), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Hard Prompts14031150
Epoch Capabilities Index136.74122.03
ForecastBench61.756.3
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
DTBench—55.1%
LiveBench Data Analysis64.3%—
LiveBench69%—

Math GPT-4.5 leads

GPT-4.5: 32.6 (#211), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Math14121184
MATH Level 578.6%24.2%
OTIS Mock AIME 2024-202537.8%—
Omni-MATH—16.3%
LiveBench Math69.3%—

Knowledge GPT-4.5 leads

GPT-4.5: 32.5 (#211), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-4.5Mixtral 8x22B
GPQA Diamond68.7%34.1%
LMArena Expert13941113
Humanity's Last Exam5.4%—
MMLU-Pro—46%
Confabulations13.6%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

GPT-4.5: 37.6 (#71), Mixtral 8x22B: —

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Vision1195—
VPCT45%—

Multilingual GPT-4.5 leads

GPT-4.5: 52.5 (#83), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Non-English14131128
LMArena Chinese14211116
LMArena French14181166
LMArena German14571141
LMArena Japanese14161037
LMArena Korean13921057
LMArena Russian14191158
LMArena Spanish—1151

Instruction Following GPT-4.5 leads

GPT-4.5: 72.6 (#134), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Instruction Following14041147
LiveBench Instruction Following72.3%—
IFEval—72.4%

Long Context GPT-4.5 leads

GPT-4.5: 40.4 (#155), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Longer Query14061144
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.5 leads

GPT-4.5: 56.9 (#134), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-4.5Mixtral 8x22B
LMArena Text14171162
LMArena Creative Writing13941141
LMArena Multi-Turn14441130
Short-Story Creative Writing75.6%—
EQ-Bench Creative Writing1258—
WildBench—71.1%
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Mixtral 8x22B?

GPT-4.5 is the stronger model overall, scoring 37.2 to 27.1 on the Noometry Index.

Is GPT-4.5 or Mixtral 8x22B better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 24.2 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Mixtral 8x22B share?

22 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mixtral 8x22B has 34.

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