DeepSeek R1 vs MoonshotAI Kimi Latest
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek R1 and MoonshotAI Kimi Latest.
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
MoonshotAI Kimi Latest
This model always redirects to the latest model in the MoonshotAI Kimi family.
Technical Specifications
| Specification | DeepSeek R1 | MoonshotAI Kimi Latest |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Context Window | 163,840 tokens | 262,144 tokens |
| Agent Suitability | 78/100 | N/A |
| Time to First Token (TTFT) | 1800 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-20 | 2026-04-27 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek R1
$0.70
MoonshotAI Kimi Latest
$0.66
Output Price per Million Tokens
DeepSeek R1
$2.50
MoonshotAI Kimi Latest
$3.41
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only
MoonshotAI Kimi Latest Quirks & Gotchas
No developer gotchas reported.