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 WizardLM-2 8x22B
WizardLM-2 8x22B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is an…
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 64K | 66K | 🏆 WizardLM-2 8x22B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.62 | 🏆 WizardLM-2 8x22B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.50 | $0.62 | 🏆 WizardLM-2 8x22B |
| 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 DeepSeek: R1 better than WizardLM-2 8x22B?
WizardLM-2 8x22B 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 WizardLM-2 8x22B?
Input: $0.70 vs $0.62 per 1M tokens. Output: $2.50 vs $0.62 per 1M tokens.
What context windows do DeepSeek: R1 and WizardLM-2 8x22B support?
DeepSeek: R1 supports up to 64K tokens. WizardLM-2 8x22B supports up to 66K tokens.
Do both DeepSeek: R1 and WizardLM-2 8x22B support tool calling?
DeepSeek: R1: yes. WizardLM-2 8x22B: not advertised.