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 →DeepSeek: R1 vs Mistral: Mixtral 8x22B Instruct
DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,…
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 | Mistral: Mixtral 8x22B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 64K | 66K | 🏆 Mistral: Mixtral 8x22B Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $2.00 | 🏆 DeepSeek: R1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.50 | $6.00 | 🏆 DeepSeek: R1 |
| 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 Mistral: Mixtral 8x22B Instruct?
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 Mistral: Mixtral 8x22B Instruct?
Input: $0.70 vs $2.00 per 1M tokens. Output: $2.50 vs $6.00 per 1M tokens.
What context windows do DeepSeek: R1 and Mistral: Mixtral 8x22B Instruct support?
DeepSeek: R1 supports up to 64K tokens. Mistral: Mixtral 8x22B Instruct supports up to 66K tokens.
Do both DeepSeek: R1 and Mistral: Mixtral 8x22B Instruct support tool calling?
DeepSeek: R1: yes. Mistral: Mixtral 8x22B Instruct: yes.