Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...
Model details →Deep Cogito: Cogito v2.1 671B vs DeepSeek: R1
DeepSeek: R1 wins on 3 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 | Deep Cogito: Cogito v2.1 671B | DeepSeek: R1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 164K | 🏆 DeepSeek: R1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $0.70 | 🏆 DeepSeek: R1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.25 | $2.50 | 🏆 Deep Cogito: Cogito v2.1 671B |
| 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 | Yes | Tie |
Frequently asked questions
Is Deep Cogito: Cogito v2.1 671B better than DeepSeek: R1?
DeepSeek: R1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Deep Cogito: Cogito v2.1 671B and DeepSeek: R1?
Input: $1.25 vs $0.70 per 1M tokens. Output: $1.25 vs $2.50 per 1M tokens.
What context windows do Deep Cogito: Cogito v2.1 671B and DeepSeek: R1 support?
Deep Cogito: Cogito v2.1 671B supports up to 128K tokens. DeepSeek: R1 supports up to 164K tokens.
Do both Deep Cogito: Cogito v2.1 671B and DeepSeek: R1 support tool calling?
Deep Cogito: Cogito v2.1 671B: not advertised. DeepSeek: R1: yes.
Compare Deep Cogito: Cogito v2.1 671B with other models
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