Model comparison

Llama 3.1-405B vs Magistral Medium

Magistral Medium is the stronger model overall, scoring 34.8 to 30.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 3.1-405B Meta

30.4

Rank #279 Confirmed

Magistral Medium Mistral AI

34.8

Rank #224 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 3.1-405B scores higher in 2 categories and Magistral Medium in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Magistral Medium leads 32.4 to 17.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 45% for Llama 3.1-405B and 16.2% for Magistral Medium.

Side by side

Llama 3.1-405B and Magistral Medium specifications
Llama 3.1-405BMagistral Medium
ProviderMetaMistral AI
Noometry Index30.434.8
Released2024-07-232025-03-17
WeightsOpenOpen
Context window—128K
Max output—16K
Input $ / M tokens—$2
Output $ / M tokens—$5
Results tracked4222

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Category by category

Coding Magistral Medium leads

Llama 3.1-405B: 32.7 (#257), Magistral Medium: 38.6 (#161)

Coding benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Coding12911319
SciCode—39.2%
WeirdML21.4%—

Agentic & Tool Use Not comparable

Llama 3.1-405B: 20.9 (#131), Magistral Medium: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Llama 3.1-405B leads

Llama 3.1-405B: 16.4 (#293), Magistral Medium: 8.7 (#342)

Reasoning benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
Kagi LLM Benchmark45%16.2%
LMArena Hard Prompts12701267
ARC-AGI-2—0%
SimpleBench23%—
ARC-AGI-1—6.1%
CritPt—0.3%
DTBench61.4%—
BIG-Bench Hard82.9%—
Epoch Capabilities Index128.76—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Magistral Medium leads

Llama 3.1-405B: 17.3 (#283), Magistral Medium: 32.4 (#187)

Math benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Math12811249
OTIS Mock AIME 2024-20259.7%—
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge Magistral Medium leads

Llama 3.1-405B: 30.4 (#221), Magistral Medium: 32.9 (#199)

Knowledge benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Expert12431222
GPQA Diamond50.9%—
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.9 (#209), Magistral Medium: 39.8 (#219)

Multilingual benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Non-English12481232
LMArena Chinese12421225
LMArena French12781268
LMArena German12521248
LMArena Japanese12081176
LMArena Korean11841125
LMArena Russian12651224
LMArena Spanish12591269

Instruction Following Too close to call

Llama 3.1-405B: 66.1 (#209), Magistral Medium: 66.2 (#207)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Instruction Following12591254
IFEval81.1%—

Long Context Too close to call

Llama 3.1-405B: 38.4 (#192), Magistral Medium: 39.3 (#178)

Long Context benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Longer Query12661295

Writing & Preference Magistral Medium leads

Llama 3.1-405B: 39.1 (#246), Magistral Medium: 46.5 (#214)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BMagistral Medium
LMArena Text12841255
LMArena Creative Writing12621245
LMArena Multi-Turn12971275
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Magistral Medium?

Magistral Medium is the stronger model overall, scoring 34.8 to 30.4 on the Noometry Index.

Is Llama 3.1-405B or Magistral Medium better for coding?

Magistral Medium scores higher on coding benchmarks: 38.6 versus 32.7 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Magistral Medium share?

18 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Magistral Medium has 22.

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