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 in an inference pass.…
Model details →DeepSeek: R1 0528 vs xAI: Grok 3 Mini Beta
xAI: Grok 3 Mini Beta wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Grok 3 Mini is a lightweight, smaller thinking model. Unlike traditional models that generate answers immediately, Grok 3 Mini thinks before responding. It’s ideal for reasoning-heavy tasks that don’t demand extensive domain knowledge, and …
Model details →Side-by-side comparison
| Capability | DeepSeek: R1 0528 | xAI: Grok 3 Mini Beta | 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. | $0.45 | $0.30 | 🏆 xAI: Grok 3 Mini Beta |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.15 | $0.50 | 🏆 xAI: Grok 3 Mini Beta |
| 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 | Yes | Tie |
Frequently asked questions
Is DeepSeek: R1 0528 better than xAI: Grok 3 Mini Beta?
xAI: Grok 3 Mini Beta wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 0528 and xAI: Grok 3 Mini Beta?
Input: $0.45 vs $0.30 per 1M tokens. Output: $2.15 vs $0.50 per 1M tokens.
What context windows do DeepSeek: R1 0528 and xAI: Grok 3 Mini Beta support?
DeepSeek: R1 0528 supports up to 164K tokens. xAI: Grok 3 Mini Beta supports up to 131K tokens.
Do both DeepSeek: R1 0528 and xAI: Grok 3 Mini Beta support tool calling?
DeepSeek: R1 0528: yes. xAI: Grok 3 Mini Beta: yes.