Kimi K3 vs Mistral Nemo
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 K3 and Mistral Nemo.
Kimi K3
Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating...
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Technical Specifications
| Specification | Kimi K3 | Mistral Nemo |
|---|---|---|
| Provider | Moonshot AI | Mistral |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-07-16 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K3
$3.00
Mistral Nemo
$0.02
Output Price per Million Tokens
Kimi K3
$15.00
Mistral Nemo
$0.04
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 K3 Quirks & Gotchas
No developer gotchas reported.
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.