Kimi K2-Thinking-0905 vs MiniMax M3: Specs & Benchmark Comparison
| Characteristic | Kimi K2-Thinking-0905 | MiniMax M3 |
|---|---|---|
| Company | Moonshot AI | MiniMax |
| Release Date | September 4, 2025 | June 1, 2026 |
| Parameters | 1.0T | 428B |
| Multimodal | No | Yes |
| Context (input) | 262K | 1.0M |
| Context (output) | 66K | 131K |
| Input Price / 1M | $0.60 | $0.30 |
| Output Price / 1M | $2.40 | $1.20 |
| Average Score | 0.9 | 0.9 |
Verdict
MiniMax M3 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2-Thinking-0905 — 0.9, MiniMax M3 — 0.9.
API Cost
MiniMax M3 is 2.0x cheaper: input $0.30/1M vs $0.60/1M tokens.
Context Window
MiniMax M3 supports a larger context: 1M vs 262K tokens.
Recency
MiniMax M3 is newer: released 6/1/2026 vs 9/4/2025.
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Frequently Asked Questions
Which is better for coding — Kimi K2-Thinking-0905 or MiniMax M3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K2-Thinking-0905 or MiniMax M3?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $0.60.
Which has a larger context window — Kimi K2-Thinking-0905 or MiniMax M3?
MiniMax M3 supports a larger context: 1,000,000 tokens vs 262,144.
The Kimi K2-Thinking-0905 and MiniMax M3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K2-Thinking-0905 or MiniMax M3 page. See also the complete list of AI model comparisons.