Model comparison

Llama 3-8B vs Mistral Small

Mistral Small is the stronger model overall, scoring 33.4 to 25.5 on the Noometry Index.

Last verified . 24 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Mistral Small in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small leads 31.0 to 7.8.
  • The biggest single-benchmark swing is MATH Level 5: 6.1% for Llama 3-8B and 46.8% for Mistral Small.

Side by side

Llama 3-8B and Mistral Small specifications
Llama 3-8BMistral Small
ProviderMetaMistral AI
Noometry Index25.533.4
Released2024-04-182024-02-26
WeightsOpenOpen
Context window—262K
Max output—256K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.60
Results tracked3439

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Category by category

Coding Mistral Small leads

Llama 3-8B: 31.0 (#289), Mistral Small: 34.0 (#247)

Coding benchmarks
BenchmarkLlama 3-8BMistral Small
BigCodeBench Instruct31.9%36.1%
LMArena Coding11521362
BigCodeBench Complete36.9%46.6%
SciCode—26.5%
LiveBench Coding—36.2%
ALE-Bench—497.62
HumanEval+56.7%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

Llama 3-8B: —, Mistral Small: 28.1 (#93)

Agentic & Tool Use benchmarks
BenchmarkLlama 3-8BMistral Small
Berkeley Function Calling Leaderboard—37.1%

Reasoning Mistral Small leads

Llama 3-8B: 14.3 (#326), Mistral Small: 19.8 (#250)

Reasoning benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Hard Prompts11331335
DTBench43.9%70.9%
Kagi LLM Benchmark—37.8%
CritPt—0%
Chess Puzzles0%—
LiveBench Reasoning—44.8%
LiveBench Data Analysis—53.7%
LMCA—20.6%
Adversarial NLI57.3%—
Epoch Capabilities Index116.45—
ForecastBench58.6—
LiveBench—44%
WinoGrande75.7%—

Math Mistral Small leads

Llama 3-8B: 8.8 (#323), Mistral Small: 16.4 (#293)

Math benchmarks
BenchmarkLlama 3-8BMistral Small
OTIS Mock AIME 2024-20251.9%5.8%
LMArena Math11511341
MATH Level 56.1%46.8%
LiveBench Math—39.9%

Knowledge Mistral Small leads

Llama 3-8B: 7.8 (#308), Mistral Small: 31.0 (#222)

Knowledge benchmarks
BenchmarkLlama 3-8BMistral Small
GPQA Diamond26.1%47.5%
LMArena Expert11131291
MMLU68.8%68.7%
Vectara Hallucination Rate—5.1%
ARC (AI2) Challenge82.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multimodal Not comparable

Llama 3-8B: —, Mistral Small: 33.5 (#96)

Multimodal benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Vision—1142

Multilingual Mistral Small leads

Llama 3-8B: 30.8 (#261), Mistral Small: 45.5 (#169)

Multilingual benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Non-English10981315
LMArena Chinese10761340
LMArena French11591337
LMArena German11041340
LMArena Japanese9671275
LMArena Korean10041259
LMArena Russian11091324
LMArena Spanish11731346

Instruction Following Mistral Small leads

Llama 3-8B: 58.4 (#260), Mistral Small: 66.4 (#209)

Instruction Following benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Instruction Following11271310
LiveBench Instruction Following—63.7%

Long Context Mistral Small leads

Llama 3-8B: 34.2 (#251), Mistral Small: 40.4 (#156)

Long Context benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Longer Query11281327

Writing & Preference Mistral Small leads

Llama 3-8B: 37.5 (#256), Mistral Small: 52.5 (#171)

Writing & Preference benchmarks
BenchmarkLlama 3-8BMistral Small
LMArena Text11661338
LMArena Creative Writing11501305
LMArena Multi-Turn11521344
LiveBench Language—30.5%

Frequently asked questions

Is Llama 3-8B better than Mistral Small?

Mistral Small is the stronger model overall, scoring 33.4 to 25.5 on the Noometry Index.

Is Llama 3-8B or Mistral Small better for coding?

Mistral Small scores higher on coding benchmarks: 34.0 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama 3-8B and Mistral Small share?

24 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Mistral Small has 39.

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