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. Fully open-source model & [technical report](h…
Model details →DeepSeek: R1 vs Sao10k: Llama 3 Euryale 70B v2.1
DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Euryale 70B v2.1 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). - Better prompt adherence. - Better anatomy / spatial awareness. - Adapts much better to unique and custom formatting / reply formats. - Very…
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 | Sao10k: Llama 3 Euryale 70B v2.1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 64K | 8K | 🏆 DeepSeek: R1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $1.48 | 🏆 DeepSeek: R1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.50 | $1.48 | 🏆 Sao10k: Llama 3 Euryale 70B v2.1 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 DeepSeek: R1 |
Frequently asked questions
Is DeepSeek: R1 better than Sao10k: Llama 3 Euryale 70B v2.1?
DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 and Sao10k: Llama 3 Euryale 70B v2.1?
Input: $0.70 vs $1.48 per 1M tokens. Output: $2.50 vs $1.48 per 1M tokens.
What context windows do DeepSeek: R1 and Sao10k: Llama 3 Euryale 70B v2.1 support?
DeepSeek: R1 supports up to 64K tokens. Sao10k: Llama 3 Euryale 70B v2.1 supports up to 8K tokens.
Do both DeepSeek: R1 and Sao10k: Llama 3 Euryale 70B v2.1 support tool calling?
DeepSeek: R1: yes. Sao10k: Llama 3 Euryale 70B v2.1: yes.