Model comparison

Mistral 7B vs Mistral Medium 3.1

Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 23.0 on the Noometry Index. Mistral 7B costs 3.2× less per token, which makes it the better buy when Mistral Medium 3.1's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 30.7.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • Mistral Medium 3.1 accepts more context: 131K tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

Mistral 7B and Mistral Medium 3.1 specifications
Mistral 7BMistral Medium 3.1
ProviderMistral AIMistral AI
Noometry Index23.031.9
Released2023-09-27—
WeightsOpenProprietary
Context window8K131K
Max output8K105K
Input $ / M tokens$0.25$0.40
Output $ / M tokens$0.25$2
Results tracked373

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Category by category

Coding Not comparable

Mistral 7B: 26.4 (#326), Mistral Medium 3.1: —

Coding benchmarks
BenchmarkMistral 7BMistral Medium 3.1
BigCodeBench Instruct19.5%—
LMArena Coding1082—
BigCodeBench Complete27.3%—
HumanEval+36%—
MBPP+42.1%—

Reasoning Mistral 7B leads

Mistral 7B: 13.1 (#336), Mistral Medium 3.1: 10.6 (#341)

Reasoning benchmarks
BenchmarkMistral 7BMistral Medium 3.1
NYT Connections (extended)—6.5%
Chess Puzzles0%—
Thematic Generalization—20.3%
LMArena Hard Prompts1067—
DTBench42.5%—
Adversarial NLI47.1%—
BIG-Bench Hard56.1%—
Epoch Capabilities Index112.21—
HellaSwag81%—
PIQA83%—
WinoGrande75.3%—

Math Not comparable

Mistral 7B: 8.1 (#325), Mistral Medium 3.1: —

Math benchmarks
BenchmarkMistral 7BMistral Medium 3.1
OTIS Mock AIME 2024-20250.3%—
LMArena Math1085—
MATH Level 53.7%—
GSM8K54.4%—

Knowledge Not comparable

Mistral 7B: 7.4 (#311), Mistral Medium 3.1: —

Knowledge benchmarks
BenchmarkMistral 7BMistral Medium 3.1
GPQA Diamond15.2%—
LMArena Expert1036—
ARC (AI2) Challenge78.6%—
BoolQ87.4%—
MMLU62.5%—
OpenBookQA79.8%—
TriviaQA75.2%—

Multilingual Not comparable

Mistral 7B: 25.8 (#283), Mistral Medium 3.1: —

Multilingual benchmarks
BenchmarkMistral 7BMistral Medium 3.1
LMArena Non-English1012—
LMArena Chinese1009—
LMArena French1037—
LMArena German987—
LMArena Japanese878—
LMArena Russian1018—
LMArena Spanish1026—

Instruction Following Not comparable

Mistral 7B: 54.2 (#280), Mistral Medium 3.1: —

Instruction Following benchmarks
BenchmarkMistral 7BMistral Medium 3.1
LMArena Instruction Following1060—

Long Context Not comparable

Mistral 7B: 32.2 (#271), Mistral Medium 3.1: —

Long Context benchmarks
BenchmarkMistral 7BMistral Medium 3.1
LMArena Longer Query1060—

Writing & Preference Mistral Medium 3.1 leads

Mistral 7B: 30.7 (#286), Mistral Medium 3.1: 55.5 (#145)

Writing & Preference benchmarks
BenchmarkMistral 7BMistral Medium 3.1
LMArena Text1090—
LMArena Creative Writing1068—
EQ-Bench Creative Writing—1476
LMArena Multi-Turn1062—

Frequently asked questions

Is Mistral 7B better than Mistral Medium 3.1?

Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 23.0 on the Noometry Index. Mistral 7B costs 3.2× less per token, which makes it the better buy when Mistral Medium 3.1's lead doesn't matter for your workload.

Which is cheaper, Mistral 7B or Mistral Medium 3.1?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

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

How many benchmarks do Mistral 7B and Mistral Medium 3.1 share?

0 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Mistral Medium 3.1 has 3.

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