Cohere Command A vs Llama 4 (Meta)

Which one should you pick? Here's the full breakdown.

Cohere Command A

B
7.5/10

Cohere's enterprise-multilingual flagship -- 111B params, 256K context, runs on 2x H100. 23 languages. CC-BY-NC 4.0 on weights (research / non-commercial), commercial requires Cohere enterprise contract. Follow-ups: Command A Reasoning + Command A Vision

Our Pick

Llama 4 (Meta)

B
7.9/10

Meta's open-weights flagship family -- Scout (10M context), Maverick (multimodal 400B MoE), Behemoth in preview

CategoryCohere Command ALlama 4 (Meta)
Ease of Use6.55.0
Output Quality8.58.5
Value7.09.0
Features8.09.0
Overall7.57.9

Pricing Comparison

FeatureCohere Command ALlama 4 (Meta)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

Llama 4 Maverick (17B/400B MoE) benchmarks — Cohere Command A has no published benchmarks

BenchmarkScore
MMLU-Pro80.5%
GPQA Diamond69.8%
HumanEval88%
MMMU (multimodal)73.4%

Which Should You Pick?

Pick Cohere Command A if...

  • Easier to use (6.5 vs 5)

Mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x H100 for full model). Especially good for retrieval-augmented generation over internal document stores, multi-language customer support, and workflows touching Asian / Middle Eastern / African languages where Command A's coverage materially beats Llama or Mistral. Also a strong pick for teams already in Cohere's enterprise ecosystem.

Visit Cohere Command A

Pick Llama 4 (Meta) if...

  • Better value for money (9/10)
  • More features (9 vs 8)

Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (Scout), or multimodal (Maverick). Safe default choice given the ecosystem.

Visit Llama 4 (Meta)

Our Verdict

Llama 4 (Meta) edges out Cohere Command A with a 7.9 vs 7.5 overall score. Both are solid picks, but Llama 4 (Meta) has the advantage in value.