Noometry

Model comparison

Mistral Large 4 vs Mixtral 8x7B

Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Mistral Large 4 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 34.2.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Mistral Large 4Mixtral 8x7B
ProviderMistral AIMistral AI
Noometry Index43.127.1
Released2026-10-062023-12-11
WeightsProprietaryOpen
Context window1.05M32K
Max output262K32K
Input $ / M tokens$0.68$0.70
Output $ / M tokens$2.09$0.70
Results tracked1538

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Category by category

Coding Mistral Large 4 leads

Mistral Large 4: 48.6 (#57), Mixtral 8x7B: 32.8 (#269)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Coding14751126
LMArena WebDev1541—
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Mistral Large 4 leads

Mistral Large 4: 22.5 (#192), Mixtral 8x7B: 18.2 (#285)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Hard Prompts14441115
NYT Connections (extended)27.4%—
DTBench—49.6%
Adversarial NLI—55.2%
Epoch Capabilities Index—118.47
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Mistral Large 4 leads

Mistral Large 4: 40.4 (#91), Mixtral 8x7B: 18.8 (#289)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Math14881147
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge Mistral Large 4 leads

Mistral Large 4: 36.6 (#166), Mixtral 8x7B: 11.0 (#301)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Expert14471088
GPQA Diamond—30.6%
SimpleQA Verified20%—
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Mistral Large 4 leads

Mistral Large 4: 52.6 (#82), Mixtral 8x7B: 29.6 (#266)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Non-English14151077
LMArena Chinese14911055
LMArena Russian14141090
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Spanish—1111

Instruction Following Mistral Large 4 leads

Mistral Large 4: 75.0 (#76), Mixtral 8x7B: 51.0 (#297)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Instruction Following14241109
IFEval—57.5%

Long Context Mistral Large 4 leads

Mistral Large 4: 43.6 (#89), Mixtral 8x7B: 33.4 (#260)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Longer Query14291103

Writing & Preference Mistral Large 4 leads

Mistral Large 4: 60.4 (#97), Mixtral 8x7B: 34.2 (#270)

BenchmarkMistral Large 4Mixtral 8x7B
LMArena Text14271132
LMArena Creative Writing13611109
LMArena Multi-Turn14241115
WildBench—67.3%

Frequently asked questions

Is Mistral Large 4 better than Mixtral 8x7B?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.1 on the Noometry Index.

Which is cheaper, Mistral Large 4 or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is Mistral Large 4 or Mixtral 8x7B better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 32K.

How many benchmarks do Mistral Large 4 and Mixtral 8x7B share?

12 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Mixtral 8x7B has 38.

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