This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Magnum v4 72B vs Cohere: Command A
Cohere: Command A wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | Magnum v4 72B | Cohere: Command A | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 256K | 🏆 Cohere: Command A |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.00 | $2.50 | 🏆 Cohere: Command A |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $10.00 | 🏆 Magnum v4 72B |
| 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 Magnum v4 72B better than Cohere: Command A?
Cohere: Command A wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Magnum v4 72B and Cohere: Command A?
Input: $3.00 vs $2.50 per 1M tokens. Output: $5.00 vs $10.00 per 1M tokens.
What context windows do Magnum v4 72B and Cohere: Command A support?
Magnum v4 72B supports up to 16K tokens. Cohere: Command A supports up to 256K tokens.
Do both Magnum v4 72B and Cohere: Command A support tool calling?
Magnum v4 72B: not advertised. Cohere: Command A: not advertised.