Model comparison

Command A vs Llama 3.1-405B

Command A is the stronger model overall, scoring 36.5 to 30.7 on the Noometry Index.

Last verified . 20 shared benchmarks.

Command A Cohere

36.5

Rank #215 Confirmed

Llama 3.1-405B Meta

30.7

Rank #288 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Command A scores higher in 8 categories and Llama 3.1-405B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Command A leads 36.2 to 18.4.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 45% for Llama 3.1-405B.

Side by side

Command A and Llama 3.1-405B specifications
Command ALlama 3.1-405B
ProviderCohereMeta
Noometry Index36.530.7
Released2025-03-132024-07-23
WeightsOpenOpen
Context window256K—
Max output8K—
Input $ / M tokens$2.50—
Output $ / M tokens$10—
Results tracked2442

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Category by category

Coding Llama 3.1-405B leads

Command A: 27.2 (#322), Llama 3.1-405B: 33.1 (#262)

Coding benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Coding13301291
Aider Polyglot12%—
WeirdML—21.4%

Agentic & Tool Use Command A leads

Command A: 35.9 (#40), Llama 3.1-405B: 21.0 (#140)

Agentic & Tool Use benchmarks
BenchmarkCommand ALlama 3.1-405B
Berkeley Function Calling Leaderboard57.1%—
TheAgentCompany—7.4%
Cybench—7.5%

Reasoning Command A leads

Command A: 18.3 (#283), Llama 3.1-405B: 16.8 (#300)

Reasoning benchmarks
BenchmarkCommand ALlama 3.1-405B
Kagi LLM Benchmark28.8%45%
LMArena Hard Prompts13261269
DTBench61.3%61.4%
SimpleBench—23%
LMCA10.3%—
BIG-Bench Hard—82.9%
Epoch Capabilities Index—128.75
ForecastBench—59.9
HellaSwag—89.2%
PIQA—85.9%
WinoGrande—89.2%

Math Command A leads

Command A: 36.2 (#171), Llama 3.1-405B: 18.4 (#290)

Math benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Math13001281
OTIS Mock AIME 2024-2025—9.7%
Omni-MATH—24.9%
MATH Level 5—49.8%

Knowledge Command A leads

Command A: 37.1 (#159), Llama 3.1-405B: 30.4 (#227)

Knowledge benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Expert12951243
GPQA Diamond—50.9%
MMLU-Pro—72.3%
Confabulations—17.6%
Vectara Hallucination Rate9.3%—
GPQA (HELM)—52.2%
ARC (AI2) Challenge—95.3%
MMLU—84.5%
TriviaQA—82.7%

Multilingual Command A leads

Command A: 45.3 (#170), Llama 3.1-405B: 40.7 (#214)

Multilingual benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Non-English13131248
LMArena Chinese13271242
LMArena French13511279
LMArena German13411252
LMArena Japanese12851208
LMArena Korean12851184
LMArena Russian13141265
LMArena Spanish13471260

Instruction Following Command A leads

Command A: 69.1 (#177), Llama 3.1-405B: 65.9 (#214)

Instruction Following benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Instruction Following13091259
IFEval—81.1%

Long Context Command A leads

Command A: 40.6 (#151), Llama 3.1-405B: 38.4 (#197)

Long Context benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Longer Query13341266

Writing & Preference Command A leads

Command A: 47.6 (#208), Llama 3.1-405B: 38.9 (#251)

Writing & Preference benchmarks
BenchmarkCommand ALlama 3.1-405B
LMArena Text13311284
LMArena Creative Writing13191262
EQ-Bench Creative Writing1145870
LMArena Multi-Turn13391297
WildBench—78.3%

Frequently asked questions

Is Command A better than Llama 3.1-405B?

Command A is the stronger model overall, scoring 36.5 to 30.7 on the Noometry Index.

Is Command A or Llama 3.1-405B better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 27.2 in the Noometry coding category.

How many benchmarks do Command A and Llama 3.1-405B share?

20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 3.1-405B has 42.

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