Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary and open-weights models Command A…
Model details →Cohere: Command A vs Morph: Morph V3 Large
Morph: Morph V3 Large wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{i…
Model details →Side-by-side comparison
| Capability | Cohere: Command A | Morph: Morph V3 Large | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 262K | 🏆 Morph: Morph V3 Large |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.50 | $0.90 | 🏆 Morph: Morph V3 Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $1.90 | 🏆 Morph: Morph V3 Large |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Cohere: Command A better than Morph: Morph V3 Large?
Morph: Morph V3 Large wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Cohere: Command A and Morph: Morph V3 Large?
Input: $2.50 vs $0.90 per 1M tokens. Output: $10.00 vs $1.90 per 1M tokens.
What context windows do Cohere: Command A and Morph: Morph V3 Large support?
Cohere: Command A supports up to 256K tokens. Morph: Morph V3 Large supports up to 262K tokens.
Do both Cohere: Command A and Morph: Morph V3 Large support tool calling?
Cohere: Command A: not advertised. Morph: Morph V3 Large: not advertised.