Model comparison

Llama 3-8B vs Magistral Small

Magistral Small is the stronger model overall, scoring 30.2 to 25.5 on the Noometry Index.

Last verified . 5 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Summary

  • They share 5 benchmarks with published results for both. Llama 3-8B scores higher in 1 category and Magistral Small in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Magistral Small leads 30.9 to 7.8.
  • The biggest single-benchmark swing is GPQA Diamond: 26.1% for Llama 3-8B and 56.1% for Magistral Small.

Side by side

Llama 3-8B and Magistral Small specifications
Llama 3-8BMagistral Small
ProviderMetaMistral AI
Noometry Index25.530.2
Released2024-04-182025-06-10
WeightsOpenOpen
Context window—128K
Max output—40K
Input $ / M tokens—$0.50
Output $ / M tokens—$1.50
Results tracked3410

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Category by category

Coding Magistral Small leads

Llama 3-8B: 31.0 (#289), Magistral Small: 38.4 (#176)

Coding benchmarks
BenchmarkLlama 3-8BMagistral Small
SciCode—35.2%
BigCodeBench Instruct31.9%—
LMArena Coding1152—
BigCodeBench Complete36.9%—
HumanEval+56.7%—
MBPP+54.8%—

Reasoning Llama 3-8B leads

Llama 3-8B: 14.3 (#326), Magistral Small: 6.8 (#350)

Reasoning benchmarks
BenchmarkLlama 3-8BMagistral Small
Chess Puzzles0%3%
DTBench43.9%61.3%
Epoch Capabilities Index116.45133.19
ARC-AGI-2—0%
Kagi LLM Benchmark—6.3%
ARC-AGI-1—5%
CritPt—0.3%
LMArena Hard Prompts1133—
Adversarial NLI57.3%—
ForecastBench58.6—
WinoGrande75.7%—

Math Magistral Small leads

Llama 3-8B: 8.8 (#323), Magistral Small: 26.2 (#261)

Math benchmarks
BenchmarkLlama 3-8BMagistral Small
OTIS Mock AIME 2024-20251.9%30%
LMArena Math1151—
MATH Level 56.1%—

Knowledge Magistral Small leads

Llama 3-8B: 7.8 (#308), Magistral Small: 30.9 (#223)

Knowledge benchmarks
BenchmarkLlama 3-8BMagistral Small
GPQA Diamond26.1%56.1%
LMArena Expert1113—
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multilingual Not comparable

Llama 3-8B: 30.8 (#261), Magistral Small: —

Multilingual benchmarks
BenchmarkLlama 3-8BMagistral Small
LMArena Non-English1098—
LMArena Chinese1076—
LMArena French1159—
LMArena German1104—
LMArena Japanese967—
LMArena Korean1004—
LMArena Russian1109—
LMArena Spanish1173—

Instruction Following Not comparable

Llama 3-8B: 58.4 (#260), Magistral Small: —

Instruction Following benchmarks
BenchmarkLlama 3-8BMagistral Small
LMArena Instruction Following1127—

Long Context Not comparable

Llama 3-8B: 34.2 (#251), Magistral Small: —

Long Context benchmarks
BenchmarkLlama 3-8BMagistral Small
LMArena Longer Query1128—

Writing & Preference Not comparable

Llama 3-8B: 37.5 (#256), Magistral Small: —

Writing & Preference benchmarks
BenchmarkLlama 3-8BMagistral Small
LMArena Text1166—
LMArena Creative Writing1150—
LMArena Multi-Turn1152—

Frequently asked questions

Is Llama 3-8B better than Magistral Small?

Magistral Small is the stronger model overall, scoring 30.2 to 25.5 on the Noometry Index.

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

Magistral Small scores higher on coding benchmarks: 38.4 versus 31.0 in the Noometry coding category.

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

5 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Magistral Small has 10.

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