Model comparison

Llama 3.1-70B vs Magistral Small

Llama 3.1-70B and Magistral Small score almost the same on the Noometry Index (29.6 vs 30.2), so choose on price, context window or the category you care about most.

Last verified . 4 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Magistral Small in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Llama 3.1-70B leads 21.6 to 6.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.6% for Llama 3.1-70B and 30% for Magistral Small.
  • Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.

Side by side

Llama 3.1-70B and Magistral Small specifications
Llama 3.1-70BMagistral Small
ProviderMetaMistral AI
Noometry Index29.630.2
Released2024-07-232025-06-10
WeightsOpenOpen
Context window128K128K
Max output4K40K
Input $ / M tokens$0.40$0.50
Output $ / M tokens$0.40$1.50
Results tracked3510

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Category by category

Coding Magistral Small leads

Llama 3.1-70B: 30.3 (#296), Magistral Small: 38.4 (#176)

Coding benchmarks
BenchmarkLlama 3.1-70BMagistral Small
SciCode—35.2%
WeirdML9%—
BigCodeBench Instruct46.1%—
LMArena Coding1260—
BigCodeBench Complete54.8%—

Agentic & Tool Use Not comparable

Llama 3.1-70B: 25.1 (#112), Magistral Small: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BMagistral Small
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning Llama 3.1-70B leads

Llama 3.1-70B: 21.6 (#220), Magistral Small: 6.8 (#350)

Reasoning benchmarks
BenchmarkLlama 3.1-70BMagistral Small
DTBench60%61.3%
Epoch Capabilities Index125.92133.19
ARC-AGI-2—0%
Kagi LLM Benchmark—6.3%
ARC-AGI-1—5%
CritPt—0.3%
Chess Puzzles—3%
LMArena Hard Prompts1241—
LMCA14.8%—

Math Magistral Small leads

Llama 3.1-70B: 13.5 (#304), Magistral Small: 26.2 (#261)

Math benchmarks
BenchmarkLlama 3.1-70BMagistral Small
OTIS Mock AIME 2024-20253.6%30%
Omni-MATH21%—
LMArena Math1252—
MATH Level 536.7%—

Knowledge Magistral Small leads

Llama 3.1-70B: 24.2 (#269), Magistral Small: 30.9 (#223)

Knowledge benchmarks
BenchmarkLlama 3.1-70BMagistral Small
GPQA Diamond44.2%56.1%
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
LMArena Expert1209—
MMLU80.1%—

Multilingual Not comparable

Llama 3.1-70B: 38.8 (#225), Magistral Small: —

Multilingual benchmarks
BenchmarkLlama 3.1-70BMagistral Small
LMArena Non-English1219—
LMArena Chinese1215—
LMArena French1261—
LMArena German1222—
LMArena Japanese1132—
LMArena Korean1140—
LMArena Russian1234—
LMArena Spanish1253—

Instruction Following Not comparable

Llama 3.1-70B: 65.3 (#223), Magistral Small: —

Instruction Following benchmarks
BenchmarkLlama 3.1-70BMagistral Small
IFEval82.1%—
LMArena Instruction Following1231—

Long Context Not comparable

Llama 3.1-70B: 37.6 (#214), Magistral Small: —

Long Context benchmarks
BenchmarkLlama 3.1-70BMagistral Small
LMArena Longer Query1241—

Writing & Preference Not comparable

Llama 3.1-70B: 35.4 (#267), Magistral Small: —

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BMagistral Small
LMArena Text1261—
LMArena Creative Writing1232—
EQ-Bench Creative Writing784—
WildBench75.8%—
LMArena Multi-Turn1256—

Frequently asked questions

Is Llama 3.1-70B better than Magistral Small?

Llama 3.1-70B and Magistral Small score almost the same on the Noometry Index (29.6 vs 30.2), so choose on price, context window or the category you care about most.

Which is cheaper, Llama 3.1-70B or Magistral Small?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is Llama 3.1-70B or Magistral Small better for coding?

Magistral Small scores higher on coding benchmarks: 38.4 versus 30.3 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do Llama 3.1-70B and Magistral Small share?

4 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Magistral Small has 10.

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