Model comparison

Llama 2-13B vs Mixtral 8x22B

Llama 2-13B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Llama 2-13B 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 2-13B leads 28.1 to 15.1.
  • The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 55.1% for Mixtral 8x22B.

Side by side

Llama 2-13B and Mixtral 8x22B specifications
Llama 2-13BMixtral 8x22B
ProviderMetaMistral AI
Noometry Index29.627.1
Released2023-07-182024-04-17
WeightsOpenOpen
Context window—64K
Max output—64K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked3234

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Category by category

Coding Llama 2-13B leads

Llama 2-13B: 30.9 (#291), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Coding10621166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Llama 2-13B: —, Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
Cybench—7.5%

Reasoning Mixtral 8x22B leads

Llama 2-13B: 12.8 (#337), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Hard Prompts10511150
DTBench42.2%55.1%
Epoch Capabilities Index106.17122.03
Chess Puzzles0%—
BIG-Bench Hard58.2%—
ForecastBench—56.3
HellaSwag80.7%—
LAMBADA76.5%—
PIQA80.8%—
WinoGrande72.8%—

Math Llama 2-13B leads

Llama 2-13B: 31.1 (#229), Mixtral 8x22B: 22.9 (#275)

Math benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Math10651184
Omni-MATH—16.3%
MATH Level 5—24.2%
GSM8K36.9%—

Knowledge Llama 2-13B leads

Llama 2-13B: 28.1 (#249), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Expert10301113
MMLU55.6%77.8%
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
ARC (AI2) Challenge60.3%—
BoolQ82.4%—
OpenBookQA57%—
TriviaQA79.6%—

Multimodal Not comparable

Llama 2-13B: —, Mixtral 8x22B: —

Multimodal benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
ScienceQA55.8%—

Multilingual Mixtral 8x22B leads

Llama 2-13B: 26.5 (#279), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Non-English10241128
LMArena Chinese10011116
LMArena French10441166
LMArena German10091141
LMArena Japanese8941037
LMArena Korean9531057
LMArena Russian10551158
LMArena Spanish10871151

Instruction Following Mixtral 8x22B leads

Llama 2-13B: 53.3 (#287), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Instruction Following10451147
IFEval—72.4%

Long Context Mixtral 8x22B leads

Llama 2-13B: 32.3 (#269), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Longer Query10641144

Writing & Preference Mixtral 8x22B leads

Llama 2-13B: 29.8 (#289), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
BenchmarkLlama 2-13BMixtral 8x22B
LMArena Text10841162
LMArena Creative Writing10471141
LMArena Multi-Turn10501130
WildBench—71.1%

Frequently asked questions

Is Llama 2-13B better than Mixtral 8x22B?

Llama 2-13B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.

Is Llama 2-13B or Mixtral 8x22B better for coding?

Llama 2-13B scores higher on coding benchmarks: 30.9 versus 24.2 in the Noometry coding category.

How many benchmarks do Llama 2-13B and Mixtral 8x22B share?

20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mixtral 8x22B has 34.

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