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 MoonshotAI: Kimi K2 0711
DeepSeek: R1 0528 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 0528 | MoonshotAI: Kimi K2 0711 | 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 | $0.57 | 🏆 DeepSeek: R1 0528 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.15 | $2.30 | 🏆 DeepSeek: R1 0528 |
| 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 0528 |
Frequently asked questions
Is DeepSeek: R1 0528 better than MoonshotAI: Kimi K2 0711?
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 MoonshotAI: Kimi K2 0711?
Input: $0.50 vs $0.57 per 1M tokens. Output: $2.15 vs $2.30 per 1M tokens.
What context windows do DeepSeek: R1 0528 and MoonshotAI: Kimi K2 0711 support?
DeepSeek: R1 0528 supports up to 164K tokens. MoonshotAI: Kimi K2 0711 supports up to 131K tokens.
Do both DeepSeek: R1 0528 and MoonshotAI: Kimi K2 0711 support tool calling?
DeepSeek: R1 0528: yes. MoonshotAI: Kimi K2 0711: yes.