Model comparison

GPT-4 vs Mistral Medium 3.1

Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 29.1 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • They share 1 benchmark with published results for both. GPT-4 scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 34.9.
  • Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $30 / $60 for GPT-4.
  • Mistral Medium 3.1 accepts more context: 131K tokens versus 8K.

Side by side

GPT-4 and Mistral Medium 3.1 specifications
GPT-4Mistral Medium 3.1
ProviderOpenAIMistral AI
Noometry Index29.131.9
Released2023-03-14—
WeightsProprietaryProprietary
Context window8K131K
Max output8K105K
Input $ / M tokens$30$0.40
Output $ / M tokens$60$2
Results tracked383

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Category by category

Coding Not comparable

GPT-4: 31.6 (#283), Mistral Medium 3.1: —

Coding benchmarks
BenchmarkGPT-4Mistral Medium 3.1
WeirdML12.4%—
BigCodeBench Instruct46%—
LMArena Coding1254—
BigCodeBench Complete57.2%—
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, Mistral Medium 3.1: —

Agentic & Tool Use benchmarks
BenchmarkGPT-4Mistral Medium 3.1
METR Time Horizons36.1%—

Reasoning GPT-4 leads

GPT-4: 17.8 (#289), Mistral Medium 3.1: 10.6 (#341)

Reasoning benchmarks
BenchmarkGPT-4Mistral Medium 3.1
NYT Connections (extended)—6.5%
Chess Puzzles4%—
Thematic Generalization—20.3%
LMArena Hard Prompts1241—
Mystery Game Puzzles12%—
DTBench62.7%—
LMCA17.1%—
BIG-Bench Hard75.1%—
Epoch Capabilities Index125.89—
ForecastBench57.8—
HellaSwag95.3%—
WinoGrande87.5%—

Math Not comparable

GPT-4: 10.8 (#309), Mistral Medium 3.1: —

Math benchmarks
BenchmarkGPT-4Mistral Medium 3.1
OTIS Mock AIME 2024-20251.1%—
LMArena Math1269—
MATH Level 523%—
GSM8K92%—

Knowledge Not comparable

GPT-4: 18.4 (#282), Mistral Medium 3.1: —

Knowledge benchmarks
BenchmarkGPT-4Mistral Medium 3.1
GPQA Diamond35.7%—
LMArena Expert1211—
MMLU86.4%—
TriviaQA84.8%—

Multilingual Not comparable

GPT-4: 40.6 (#215), Mistral Medium 3.1: —

Multilingual benchmarks
BenchmarkGPT-4Mistral Medium 3.1
LMArena Non-English1246—
LMArena Chinese1242—
LMArena French1283—
LMArena German1251—
LMArena Japanese1209—
LMArena Korean1184—
LMArena Russian1251—
LMArena Spanish1261—

Instruction Following Not comparable

GPT-4: 65.3 (#222), Mistral Medium 3.1: —

Instruction Following benchmarks
BenchmarkGPT-4Mistral Medium 3.1
LMArena Instruction Following1241—

Long Context Not comparable

GPT-4: 37.7 (#212), Mistral Medium 3.1: —

Long Context benchmarks
BenchmarkGPT-4Mistral Medium 3.1
LMArena Longer Query1244—

Writing & Preference Mistral Medium 3.1 leads

GPT-4: 34.9 (#268), Mistral Medium 3.1: 55.5 (#145)

Writing & Preference benchmarks
BenchmarkGPT-4Mistral Medium 3.1
EQ-Bench Creative Writing7521476
LMArena Text1263—
LMArena Creative Writing1244—
LMArena Multi-Turn1257—

Frequently asked questions

Is GPT-4 better than Mistral Medium 3.1?

Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 or Mistral Medium 3.1?

Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; GPT-4 lists at $30 and $60.

Which has the bigger context window?

Mistral Medium 3.1 does, with 131K tokens against 8K.

How many benchmarks do GPT-4 and Mistral Medium 3.1 share?

1 benchmark has published results for both models. GPT-4 has 38 scored results on Noometry and Mistral Medium 3.1 has 3.

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