May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) 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...
Model details →DeepSeek: R1 0528 vs Nous: Hermes 4 405B
DeepSeek: R1 0528 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 0528 | Nous: Hermes 4 405B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: R1 0528 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.50 | $1.00 | 🏆 DeepSeek: R1 0528 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.15 | $3.00 | 🏆 DeepSeek: R1 0528 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 DeepSeek: R1 0528 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: R1 0528 better than Nous: Hermes 4 405B?
DeepSeek: R1 0528 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 0528 and Nous: Hermes 4 405B?
Input: $0.50 vs $1.00 per 1M tokens. Output: $2.15 vs $3.00 per 1M tokens.
What context windows do DeepSeek: R1 0528 and Nous: Hermes 4 405B support?
DeepSeek: R1 0528 supports up to 164K tokens. Nous: Hermes 4 405B supports up to 131K tokens.
Do both DeepSeek: R1 0528 and Nous: Hermes 4 405B support tool calling?
DeepSeek: R1 0528: yes. Nous: Hermes 4 405B: not advertised.