Noometry

Model comparison

GPT-4.5 vs Mixtral 8x7B

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

Last verified . 20 shared benchmarks.

GPT-4.5 OpenAI

37.2

Rank #208 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Mixtral 8x7B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where GPT-4.5 leads 52.5 to 29.6.
  • The biggest single-benchmark swing is MATH Level 5: 78.6% for GPT-4.5 and 10% for Mixtral 8x7B.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

GPT-4.5Mixtral 8x7B
ProviderOpenAIMistral AI
Noometry Index37.227.1
Released2025-02-272023-12-11
WeightsProprietaryOpen
Context window—32K
Max output—32K
Input $ / M tokens—$0.70
Output $ / M tokens—$0.70
Results tracked4238

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Category by category

Coding GPT-4.5 leads

GPT-4.5: 42.2 (#109), Mixtral 8x7B: 32.8 (#269)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Coding13961126
Aider Polyglot44.9%—
WeirdML39.4%—
LiveBench Coding75.2%—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

GPT-4.5: 27.9 (#97), Mixtral 8x7B: —

BenchmarkGPT-4.5Mixtral 8x7B
Cybench17.5%—

Reasoning Mixtral 8x7B leads

GPT-4.5: 13.9 (#330), Mixtral 8x7B: 18.2 (#285)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Hard Prompts14031115
Epoch Capabilities Index136.74118.47
ForecastBench61.756.3
ARC-AGI-20.8%—
SimpleBench34.5%—
ARC-AGI-110.3%—
EnigmaEval3.2%—
LiveBench Reasoning71.1%—
DTBench—49.6%
LiveBench Data Analysis64.3%—
Adversarial NLI—55.2%
HellaSwag—86.7%
LiveBench69%—
PIQA—83.6%
WinoGrande—77.2%

Math GPT-4.5 leads

GPT-4.5: 32.6 (#211), Mixtral 8x7B: 18.8 (#289)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Math14121147
MATH Level 578.6%10%
OTIS Mock AIME 2024-202537.8%—
Omni-MATH—10.5%
LiveBench Math69.3%—
GSM8K—74.4%

Knowledge GPT-4.5 leads

GPT-4.5: 32.5 (#211), Mixtral 8x7B: 11.0 (#301)

BenchmarkGPT-4.5Mixtral 8x7B
GPQA Diamond68.7%30.6%
LMArena Expert13941088
Humanity's Last Exam5.4%—
MMLU-Pro—33.5%
Confabulations13.6%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

GPT-4.5: 37.6 (#71), Mixtral 8x7B: —

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Vision1195—
VPCT45%—

Multilingual GPT-4.5 leads

GPT-4.5: 52.5 (#83), Mixtral 8x7B: 29.6 (#266)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Non-English14131077
LMArena Chinese14211055
LMArena French14181166
LMArena German14571114
LMArena Japanese1416931
LMArena Korean1392968
LMArena Russian14191090
LMArena Spanish—1111

Instruction Following GPT-4.5 leads

GPT-4.5: 72.6 (#134), Mixtral 8x7B: 51.0 (#297)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Instruction Following14041109
LiveBench Instruction Following72.3%—
IFEval—57.5%

Long Context GPT-4.5 leads

GPT-4.5: 40.4 (#155), Mixtral 8x7B: 33.4 (#260)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Longer Query14061103
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.5 leads

GPT-4.5: 56.9 (#134), Mixtral 8x7B: 34.2 (#270)

BenchmarkGPT-4.5Mixtral 8x7B
LMArena Text14171132
LMArena Creative Writing13941109
LMArena Multi-Turn14441115
Short-Story Creative Writing75.6%—
EQ-Bench Creative Writing1258—
WildBench—67.3%
LiveBench Language61.5%—

Frequently asked questions

Is GPT-4.5 better than Mixtral 8x7B?

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

Is GPT-4.5 or Mixtral 8x7B better for coding?

GPT-4.5 scores higher on coding benchmarks: 42.2 versus 32.8 in the Noometry coding category.

How many benchmarks do GPT-4.5 and Mixtral 8x7B share?

20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Mixtral 8x7B has 38.

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