Model comparison

GPT-4 Turbo vs Mistral

GPT-4 Turbo and Mistral score almost the same on the Noometry Index (30.5 vs 29.9), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

Mistral Mistral AI

29.9

Rank #303 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GPT-4 Turbo scores higher in 6 categories and Mistral in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral leads 22.3 to 9.0.

Side by side

GPT-4 Turbo and Mistral specifications
GPT-4 TurboMistral
ProviderOpenAIMistral AI
Noometry Index30.529.9
Released2023-11-06—
WeightsProprietaryProprietary
Context window128K—
Max output4K—
Input $ / M tokens$10—
Output $ / M tokens$30—
Results tracked3622

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Category by category

Coding Too close to call

GPT-4 Turbo: 33.8 (#249), Mistral: 33.8 (#250)

Coding benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Coding12681162
WeirdML18%—
BigCodeBench Instruct48.2%—
BigCodeBench Complete58.2%—
HumanEval+86.6%—
MBPP+73.3%—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, Mistral: —

Agentic & Tool Use benchmarks
BenchmarkGPT-4 TurboMistral
METR Time Horizons36.7%—

Reasoning Mistral leads

GPT-4 Turbo: 15.3 (#317), Mistral: 22.2 (#200)

Reasoning benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Hard Prompts12511149
SimpleBench25.1%—
Chess Puzzles6%—
DTBench61.6%—
LMCA9.8%—
Epoch Capabilities Index127.25—
ForecastBench59.4—

Math Mistral leads

GPT-4 Turbo: 9.0 (#322), Mistral: 22.3 (#278)

Math benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Math12721180
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.7%—
Omni-MATH—7.2%
MATH Level 546.7%—

Knowledge GPT-4 Turbo leads

GPT-4 Turbo: 24.3 (#268), Mistral: 16.6 (#288)

Knowledge benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Expert12231125
GPQA Diamond46.6%—
MMLU-Pro—27.7%
Confabulations28.4%—
GPQA (HELM)—30.3%
MMLU81.3%—

Multimodal Not comparable

GPT-4 Turbo: 30.6 (#110), Mistral: —

Multimodal benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Vision1090—

Multilingual GPT-4 Turbo leads

GPT-4 Turbo: 40.5 (#216), Mistral: 32.8 (#254)

Multilingual benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Non-English12451129
LMArena Chinese12421109
LMArena French12761180
LMArena German12591155
LMArena Japanese11941013
LMArena Korean11871032
LMArena Russian12591168
LMArena Spanish12601143

Instruction Following GPT-4 Turbo leads

GPT-4 Turbo: 65.8 (#216), Mistral: 52.6 (#288)

Instruction Following benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Instruction Following12491152
IFEval—56.8%

Long Context GPT-4 Turbo leads

GPT-4 Turbo: 38.0 (#206), Mistral: 35.0 (#245)

Long Context benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Longer Query12541153

Writing & Preference GPT-4 Turbo leads

GPT-4 Turbo: 47.7 (#206), Mistral: 37.0 (#260)

Writing & Preference benchmarks
BenchmarkGPT-4 TurboMistral
LMArena Text12721165
LMArena Creative Writing12691158
LMArena Multi-Turn12671147
WildBench—66%

Frequently asked questions

Is GPT-4 Turbo better than Mistral?

GPT-4 Turbo and Mistral score almost the same on the Noometry Index (30.5 vs 29.9), so choose on price, context window or the category you care about most.

Is GPT-4 Turbo or Mistral better for coding?

They score almost the same on coding (33.8 vs 33.8); test both on your own repository before choosing.

How many benchmarks do GPT-4 Turbo and Mistral share?

17 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Mistral has 22.

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