Model comparison

Llama 3.1-70B vs Magistral Medium

Magistral Medium is the stronger model overall, scoring 35.2 to 29.6 on the Noometry Index. Llama 3.1-70B costs 6.9× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Magistral Medium in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Magistral Medium leads 35.1 to 13.5.
  • Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
  • Magistral Medium accepts more context: 262K tokens versus 128K.

Side by side

Llama 3.1-70B and Magistral Medium specifications
Llama 3.1-70BMagistral Medium
ProviderMetaMistral AI
Noometry Index29.635.2
Released2024-07-232025-03-17
WeightsOpenOpen
Context window128K262K
Max output4K16K
Input $ / M tokens$0.40$2
Output $ / M tokens$0.40$5
Results tracked3522

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Category by category

Coding Magistral Medium leads

Llama 3.1-70B: 30.3 (#296), Magistral Medium: 39.1 (#161)

Coding benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Coding12601319
SciCode—39.2%
WeirdML9%—
BigCodeBench Instruct46.1%—
BigCodeBench Complete54.8%—

Agentic & Tool Use Not comparable

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

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

Reasoning Llama 3.1-70B leads

Llama 3.1-70B: 21.6 (#220), Magistral Medium: 8.6 (#348)

Reasoning benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Hard Prompts12411267
ARC-AGI-2—0%
Kagi LLM Benchmark—16.2%
ARC-AGI-1—6.1%
CritPt—0.3%
DTBench60%—
LMCA14.8%—
Epoch Capabilities Index125.92—

Math Magistral Medium leads

Llama 3.1-70B: 13.5 (#304), Magistral Medium: 35.1 (#189)

Math benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Math12521250
OTIS Mock AIME 2024-20253.6%—
Omni-MATH21%—
MATH Level 536.7%—

Knowledge Magistral Medium leads

Llama 3.1-70B: 24.2 (#269), Magistral Medium: 33.5 (#202)

Knowledge benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Expert12091223
GPQA Diamond44.2%—
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
MMLU80.1%—

Multilingual Too close to call

Llama 3.1-70B: 38.8 (#225), Magistral Medium: 39.6 (#224)

Multilingual benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Non-English12191232
LMArena Chinese12151227
LMArena French12611267
LMArena German12221248
LMArena Japanese11321175
LMArena Korean11401125
LMArena Russian12341224
LMArena Spanish12531271

Instruction Following Too close to call

Llama 3.1-70B: 65.3 (#223), Magistral Medium: 66.0 (#211)

Instruction Following benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Instruction Following12311254
IFEval82.1%—

Long Context Magistral Medium leads

Llama 3.1-70B: 37.6 (#214), Magistral Medium: 39.3 (#183)

Long Context benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Longer Query12411295

Writing & Preference Magistral Medium leads

Llama 3.1-70B: 35.4 (#267), Magistral Medium: 46.3 (#219)

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BMagistral Medium
LMArena Text12611255
LMArena Creative Writing12321245
LMArena Multi-Turn12561275
EQ-Bench Creative Writing784—
WildBench75.8%—

Frequently asked questions

Is Llama 3.1-70B better than Magistral Medium?

Magistral Medium is the stronger model overall, scoring 35.2 to 29.6 on the Noometry Index. Llama 3.1-70B costs 6.9× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.

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

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Magistral Medium lists at $2 and $5.

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

Magistral Medium scores higher on coding benchmarks: 39.1 versus 30.3 in the Noometry coding category.

Which has the bigger context window?

Magistral Medium does, with 262K tokens against 128K.

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

17 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Magistral Medium has 22.

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