Kimi K2.5 vs MiniMax M1
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 K2.5 and MiniMax M1.
Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
| Specification | Kimi K2.5 | MiniMax M1 |
|---|---|---|
| Provider | Moonshot AI | MiniMax |
| Context Window | 262,144 tokens | 1,000,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2026-01-27 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2.5
$0.38
MiniMax M1
$0.40
Output Price per Million Tokens
Kimi K2.5
$2.02
MiniMax M1
$2.20
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 K2.5 Quirks & Gotchas
No developer gotchas reported.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.