Claude (Anthropic) vs Cohere Command A

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

Our Pick

Claude (Anthropic)

A
8.5/10

Anthropic's flagship LLM -- Opus 4.7 (launched April 16, 2026) with 1M-token context, high-res vision, new xhigh reasoning level, and the most natural conversational style

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

CategoryClaude (Anthropic)Cohere Command A
Ease of Use9.06.5
Output Quality9.08.5
Value8.07.0
Features8.08.0
Overall8.57.5

Pricing Comparison

FeatureClaude (Anthropic)Cohere Command A
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

Claude Opus 4.7 (4.6 baseline scores shown; 4.7 announced 13% coding lift, 3x production task completion) benchmarks — Cohere Command A has no published benchmarks

BenchmarkScore
MMLU91.3%
GPQA Diamond91.3%
AIME 202499.8%
HumanEval94%
SWE-bench80.8%
ARC-AGI75.2%

Which Should You Pick?

Pick Claude (Anthropic) if...

  • Easier to use (9 vs 6.5)
  • Better value for money (8/10)

Writers, analysts, developers, and anyone who values quality of output over quantity of features. If you care about how good the actual text is, Claude is the best.

Visit Claude (Anthropic)

Pick Cohere Command A if...

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

Our Verdict

Claude (Anthropic) is the clear winner here with 8.5/10 vs 7.5/10. Cohere Command A isn't bad, but Claude (Anthropic) outperforms it across the board. Pick Cohere Command A only if mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x h100 for full model).