Command A Pro vs Llama 4 Maverick Instruct: which model should you choose?
We compared Command A Pro and Llama 4 Maverick Instruct on price, context window and 12 benchmarks. Llama 4 Maverick Instruct has the stronger average benchmark score; Llama 4 Maverick Instruct is cheaper on a blended 3:1 basis.
Command A Pro
Command A Pro is a multimodal model from Cohere. It offers a 200,000-token context window, costs $14.28 per million input tokens and $68.05 per million output tokens, and averages 81.3 across the index's benchmark suite.
- Input
- $14.28 / 1M
- Output
- $68.05 / 1M
- Context
- 200,000
- Avg score
- 81.3
- Open weights
- No
Llama 4 Maverick Instruct
Llama 4 Maverick Instruct is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.33 per million input tokens and $23.04 per million output tokens, and averages 81.7 across the index's benchmark suite.
- Input
- $5.33 / 1M
- Output
- $23.04 / 1M
- Context
- 200,000
- Avg score
- 81.7
- Open weights
- Yes
Specification comparison
| Spec | Command A Pro | Llama 4 Maverick Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $14.28 | $5.33 | B |
| Output price / 1M | $68.05 | $23.04 | B |
| Context window | 200,000 | 200,000 | Tie |
| Max output | 16,384 | 16,384 | Tie |
| Average score | 81.3 | 81.7 | B |
| Arena Elo | 1434.6 | 1438.5 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Command A Pro wins 4, Llama 4 Maverick Instruct wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Command A Pro | Llama 4 Maverick Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.3 | 84.6 | 3.3 | Llama 4 Maverick Instruct |
| GPQA Diamond | 79.1 | 79.5 | 0.4 | Llama 4 Maverick Instruct |
| SWE-bench Verified | 71.2 | 69.1 | 2.1 | Command A Pro |
| HumanEval | 87.5 | 85.0 | 2.5 | Command A Pro |
| MATH-500 | 83.1 | 83.4 | 0.3 | Llama 4 Maverick Instruct |
| AIME 2025 | 78.2 | 79.9 | 1.7 | Llama 4 Maverick Instruct |
| LiveCodeBench | 74.0 | 75.8 | 1.8 | Llama 4 Maverick Instruct |
| IFEval | 89.0 | 88.9 | 0.1 | Command A Pro |
| TruthfulQA | 83.3 | 84.0 | 0.7 | Llama 4 Maverick Instruct |
| HellaSwag | 90.1 | 89.6 | 0.5 | Command A Pro |
| MMMU | 77.2 | 79.0 | 1.8 | Llama 4 Maverick Instruct |
| Arena Elo | 1434.6 | 1438.5 | 3.9 | Llama 4 Maverick Instruct |
Price analysis
On a blended 3:1 input-to-output basis, Command A Pro costs about $27.72 per million tokens and Llama 4 Maverick Instruct costs about $9.76. Llama 4 Maverick Instruct is roughly 65% cheaper than Command A Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 200,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Command A Pro wins 4, Llama 4 Maverick Instruct wins 8, and 0 are tied. On the index average, Llama 4 Maverick Instruct leads Command A Pro by 0.4 points (81.7 versus 81.3).
The price picture favours Llama 4 Maverick Instruct. The context picture is effectively a tie. 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 Llama 4 Maverick Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Command A Pro if
- You prefer Cohere's tooling or already use it.
Choose Llama 4 Maverick Instruct if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Command A Pro better than Llama 4 Maverick Instruct?
On the index average, Llama 4 Maverick Instruct leads Command A Pro by 0.4 points (81.7 versus 81.3). The better choice depends on price, context and your task. Command A Pro wins 4 benchmarks, Llama 4 Maverick Instruct wins 8.
Which is cheaper, Command A Pro or Llama 4 Maverick Instruct?
Llama 4 Maverick Instruct is cheaper on a blended 3:1 basis at about $9.76 per million tokens, versus $27.72 for Command A Pro.
Which has the larger context window?
Both models list a 200,000-token context window.
Are these models open weights?
Command A Pro is proprietary; Llama 4 Maverick Instruct is open weights.
Which should I choose for production?
If you need a single default, start with Llama 4 Maverick Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.