Command A Max vs Llama 4 Maverick Chat: which model should you choose?
We compared Command A Max and Llama 4 Maverick Chat on price, context window and 12 benchmarks. Command A Max has the stronger average benchmark score; Llama 4 Maverick Chat is cheaper on a blended 3:1 basis.
Command A Max
Command A Max is a multimodal model from Cohere. It offers a 400,000-token context window, costs $14.28 per million input tokens and $70.22 per million output tokens, and averages 79.9 across the index's benchmark suite.
- Input
- $14.28 / 1M
- Output
- $70.22 / 1M
- Context
- 400,000
- Avg score
- 79.9
- Open weights
- No
Llama 4 Maverick Chat
Llama 4 Maverick Chat is a multimodal model from Meta AI. It offers a 128,000-token context window, costs $5.09 per million input tokens and $23.20 per million output tokens, and averages 79.7 across the index's benchmark suite.
- Input
- $5.09 / 1M
- Output
- $23.20 / 1M
- Context
- 128,000
- Avg score
- 79.7
- Open weights
- Yes
Specification comparison
| Spec | Command A Max | Llama 4 Maverick Chat | Edge |
|---|---|---|---|
| Input price / 1M | $14.28 | $5.09 | B |
| Output price / 1M | $70.22 | $23.20 | B |
| Context window | 400,000 | 128,000 | A |
| Max output | 8,192 | 32,768 | B |
| Average score | 79.9 | 79.7 | A |
| Arena Elo | 1443.7 | 1419.9 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Command A Max wins 7, Llama 4 Maverick Chat wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Command A Max | Llama 4 Maverick Chat | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.3 | 80.5 | 3.8 | Command A Max |
| GPQA Diamond | 74.5 | 73.0 | 1.5 | Command A Max |
| SWE-bench Verified | 69.7 | 66.6 | 3.1 | Command A Max |
| HumanEval | 83.4 | 83.2 | 0.2 | Command A Max |
| MATH-500 | 85.7 | 84.8 | 0.9 | Command A Max |
| AIME 2025 | 77.2 | 78.9 | 1.7 | Llama 4 Maverick Chat |
| LiveCodeBench | 73.1 | 76.3 | 3.2 | Llama 4 Maverick Chat |
| IFEval | 86.7 | 87.4 | 0.7 | Llama 4 Maverick Chat |
| TruthfulQA | 82.2 | 81.5 | 0.7 | Command A Max |
| HellaSwag | 87.1 | 88.8 | 1.7 | Llama 4 Maverick Chat |
| MMMU | 74.6 | 75.4 | 0.8 | Llama 4 Maverick Chat |
| Arena Elo | 1443.7 | 1419.9 | 23.8 | Command A Max |
Price analysis
On a blended 3:1 input-to-output basis, Command A Max costs about $28.27 per million tokens and Llama 4 Maverick Chat costs about $9.62. Llama 4 Maverick Chat is roughly 66% cheaper than Command A Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Command A Max has the larger context window at 400,000 tokens, compared with 128,000 for Llama 4 Maverick Chat. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Command A Max wins 7, Llama 4 Maverick Chat wins 5, and 0 are tied. On the index average, Command A Max leads Llama 4 Maverick Chat by 0.2 points (79.9 versus 79.7).
The price picture favours Llama 4 Maverick Chat. The context picture favours Command A Max. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Command A Max for quality-sensitive work and Llama 4 Maverick Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Command A Max if
- You want the higher average benchmark score in this index.
- You need the larger 400,000-token context window.
Choose Llama 4 Maverick Chat if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 32,768-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Command A Max better than Llama 4 Maverick Chat?
On the index average, Command A Max leads Llama 4 Maverick Chat by 0.2 points (79.9 versus 79.7). The better choice depends on price, context and your task. Command A Max wins 7 benchmarks, Llama 4 Maverick Chat wins 5.
Which is cheaper, Command A Max or Llama 4 Maverick Chat?
Llama 4 Maverick Chat is cheaper on a blended 3:1 basis at about $9.62 per million tokens, versus $28.27 for Command A Max.
Which has the larger context window?
Command A Max has the larger context window at 400,000 tokens. Llama 4 Maverick Chat has 128,000 tokens.
Are these models open weights?
Command A Max is proprietary; Llama 4 Maverick Chat is open weights.
Which should I choose for production?
If you need a single default, start with Command A Max for quality-sensitive work and Llama 4 Maverick Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.