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 DeepSeek: R1
DeepSeek: R1 wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
Model details →Side-by-side comparison
| Capability | Magnum v4 72B | DeepSeek: R1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 64K | 🏆 DeepSeek: R1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.50 | $0.70 | 🏆 DeepSeek: R1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $2.50 | 🏆 DeepSeek: R1 |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 DeepSeek: R1 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 DeepSeek: R1 |
Frequently asked questions
Is Magnum v4 72B better than DeepSeek: R1?
DeepSeek: R1 wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Magnum v4 72B and DeepSeek: R1?
Input: $2.50 vs $0.70 per 1M tokens. Output: $5.00 vs $2.50 per 1M tokens.
What context windows do Magnum v4 72B and DeepSeek: R1 support?
Magnum v4 72B supports up to 33K tokens. DeepSeek: R1 supports up to 64K tokens.
Do both Magnum v4 72B and DeepSeek: R1 support tool calling?
Magnum v4 72B: not advertised. DeepSeek: R1: yes.