Model comparison

Llama 3.1-405B vs Mixtral 8x7B

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 27.1 on the Noometry Index.

Last verified . 33 shared benchmarks.

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 33 benchmarks with published results for both. Llama 3.1-405B scores higher in 6 categories and Mixtral 8x7B in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 10% for Mixtral 8x7B.

Side by side

Llama 3.1-405B and Mixtral 8x7B specifications
Llama 3.1-405BMixtral 8x7B
ProviderMetaMistral AI
Noometry Index30.727.1
Released2024-07-232023-12-11
WeightsOpenOpen
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 Too close to call

Llama 3.1-405B: 33.1 (#262), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
LMArena Coding12911126
WeirdML21.4%—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Llama 3.1-405B: 21.0 (#140), Mixtral 8x7B: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Mixtral 8x7B leads

Llama 3.1-405B: 16.8 (#300), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
LMArena Hard Prompts12691115
DTBench61.4%49.6%
Epoch Capabilities Index128.75118.47
ForecastBench59.956.3
HellaSwag89.2%86.7%
PIQA85.9%83.6%
WinoGrande89.2%77.2%
SimpleBench23%—
Kagi LLM Benchmark45%—
Adversarial NLI—55.2%
BIG-Bench Hard82.9%—

Math Too close to call

Llama 3.1-405B: 18.4 (#290), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
Omni-MATH24.9%10.5%
LMArena Math12811147
MATH Level 549.8%10%
OTIS Mock AIME 2024-20259.7%—
GSM8K—74.4%

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#227), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
GPQA Diamond50.9%30.6%
MMLU-Pro72.3%33.5%
GPQA (HELM)52.2%29.6%
LMArena Expert12431088
ARC (AI2) Challenge95.3%87.3%
MMLU84.5%70.6%
TriviaQA82.7%82.2%
Confabulations17.6%—
OpenBookQA—85.8%

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.7 (#214), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
LMArena Non-English12481077
LMArena Chinese12421055
LMArena French12791166
LMArena German12521114
LMArena Japanese1208931
LMArena Korean1184968
LMArena Russian12651090
LMArena Spanish12601111

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 65.9 (#214), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
IFEval81.1%57.5%
LMArena Instruction Following12591109

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#197), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
LMArena Longer Query12661103

Writing & Preference Llama 3.1-405B leads

Llama 3.1-405B: 38.9 (#251), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BMixtral 8x7B
LMArena Text12841132
LMArena Creative Writing12621109
WildBench78.3%67.3%
LMArena Multi-Turn12971115
EQ-Bench Creative Writing870—

Frequently asked questions

Is Llama 3.1-405B better than Mixtral 8x7B?

Llama 3.1-405B is the stronger model overall, scoring 30.7 to 27.1 on the Noometry Index.

Is Llama 3.1-405B or Mixtral 8x7B better for coding?

They score almost the same on coding (33.1 vs 32.8); test both on your own repository before choosing.

How many benchmarks do Llama 3.1-405B and Mixtral 8x7B share?

33 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mixtral 8x7B has 38.

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