Model comparison

Llama 2-7B vs Mixtral 8x22B

Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Mixtral 8x22B in 5 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 15.1.

Side by side

Llama 2-7B and Mixtral 8x22B specifications
Llama 2-7BMixtral 8x22B
ProviderMetaMistral AI
Noometry Index29.127.1
Released2023-07-182024-04-17
WeightsOpenOpen
Context window—64K
Max output—64K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2934

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Category by category

Coding Llama 2-7B leads

Llama 2-7B: 29.2 (#307), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Coding10021166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Llama 2-7B: —, Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
Cybench—7.5%

Reasoning Mixtral 8x22B leads

Llama 2-7B: 15.7 (#312), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Hard Prompts10091150
Epoch Capabilities Index99.06122.03
Chess Puzzles0%—
DTBench—55.1%
BIG-Bench Hard39.2%—
ForecastBench—56.3
HellaSwag77.2%—
LAMBADA73.3%—
PIQA78.8%—
WinoGrande69.2%—

Math Llama 2-7B leads

Llama 2-7B: 30.7 (#233), Mixtral 8x22B: 22.9 (#275)

Math benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Math10421184
Omni-MATH—16.3%
MATH Level 5—24.2%
GSM8K16.7%—

Knowledge Llama 2-7B leads

Llama 2-7B: 28.2 (#248), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Expert10361113
MMLU45.8%77.8%
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
ARC (AI2) Challenge45.9%—
BoolQ77.9%—
OpenBookQA58.6%—
TriviaQA73.7%—

Multimodal Not comparable

Llama 2-7B: —, Mixtral 8x22B: —

Multimodal benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
ScienceQA43.1%—

Multilingual Mixtral 8x22B leads

Llama 2-7B: 23.8 (#293), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Non-English9731128
LMArena Chinese9731116
LMArena French9701166
LMArena German9781141
LMArena Russian9951158
LMArena Spanish10071151
LMArena Japanese—1037
LMArena Korean—1057

Instruction Following Mixtral 8x22B leads

Llama 2-7B: 50.8 (#298), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Instruction Following10061147
IFEval—72.4%

Long Context Mixtral 8x22B leads

Llama 2-7B: 30.4 (#287), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Longer Query9991144

Writing & Preference Mixtral 8x22B leads

Llama 2-7B: 28.0 (#298), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
BenchmarkLlama 2-7BMixtral 8x22B
LMArena Text10531162
LMArena Creative Writing10331141
LMArena Multi-Turn10291130
WildBench—71.1%

Frequently asked questions

Is Llama 2-7B better than Mixtral 8x22B?

Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.

Is Llama 2-7B or Mixtral 8x22B better for coding?

Llama 2-7B scores higher on coding benchmarks: 29.2 versus 24.2 in the Noometry coding category.

How many benchmarks do Llama 2-7B and Mixtral 8x22B share?

17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mixtral 8x22B has 34.

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