Kimi K2 Thinking vs Mistral Small 3.1 24B
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 Kimi K2 Thinking and Mistral Small 3.1 24B.
Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Technical Specifications
| Specification | Kimi K2 Thinking | Mistral Small 3.1 24B |
|---|---|---|
| Provider | Moonshot AI | Mistral |
| Context Window | 262,144 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-11-06 | 2025-03-17 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 Thinking
$0.60
Mistral Small 3.1 24B
$0.35
Output Price per Million Tokens
Kimi K2 Thinking
$2.50
Mistral Small 3.1 24B
$0.56
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.
Kimi K2 Thinking Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3.1 24B Quirks & Gotchas
No developer gotchas reported.