Kimi K2 Thinking vs MiniMax M3
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 MiniMax M3.
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...
MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Technical Specifications
| Specification | Kimi K2 Thinking | MiniMax M3 |
|---|---|---|
| Provider | Moonshot AI | MiniMax |
| Context Window | 262,144 tokens | 1,048,576 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 | 2025-11-06 | 2026-05-31 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2 Thinking
$0.60
MiniMax M3
$0.30
Output Price per Million Tokens
Kimi K2 Thinking
$2.50
MiniMax M3
$1.20
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 Thinking Quirks & Gotchas
No developer gotchas reported.
MiniMax M3 Quirks & Gotchas
No developer gotchas reported.