Gemma 4 (Google) vs Cohere Command A

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

Our Pick

Gemma 4 (Google)

8.3/10

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices

Cohere Command A

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

Category	Gemma 4 (Google)	Cohere Command A
Ease of Use	7.0	6.5
Output Quality	8.0	8.5
Value	10.0	7.0
Features	8.0	8.0
Overall	8.3	7.5

Pricing Comparison

Feature	Gemma 4 (Google)	Cohere Command A
Free Tier	Yes	Yes
Starting Price	$0	$0

Benchmark Head-to-Head

Gemma 4 31B benchmarks — Cohere Command A has no published benchmarks

Benchmark	Description	Score
MMLU	Knowledge across 57 subjects	83%
GPQA Diamond	Graduate-level science questions	84.3%
AIME 2026		89.2%
HumanEval	Python code generation	85%

Which Should You Pick?

Pick Gemma 4 (Google) if...

✓Better value for money (10/10)

Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.

Visit Gemma 4 (Google)

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

Gemma 4 (Google) edges out Cohere Command A with a 8.3 vs 7.5 overall score. Both are solid picks, but Gemma 4 (Google) has the advantage in value.