Kimi K2-Thinking-0905 vs MiniMax M2: Specs & Benchmark Comparison
| Characteristic | Kimi K2-Thinking-0905 | MiniMax M2 |
|---|---|---|
| Company | Moonshot AI | MiniMax |
| Release Date | September 4, 2025 | October 26, 2025 |
| Parameters | 1.0T | 230B |
| Multimodal | No | No |
| Context (input) | 262K | 1.0M |
| Context (output) | 66K | 100K |
| Input Price / 1M | $0.60 | $1.00 |
| Output Price / 1M | $2.40 | $4.00 |
| Average Score | 0.9 | 0.8 |
| Benchmarks | ||
| AIME 2025 | 1.0 | 0.8 |
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
Visual Benchmark Comparison
Kimi K2-Thinking-0905
MiniMax M2
AIME 20251.0 vs 0.8
1.0
0.8
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
Verdict
MiniMax M2 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2-Thinking-0905 — 0.9, MiniMax M2 — 0.8.
API Cost
Kimi K2-Thinking-0905 is 1.7x cheaper: input $0.60/1M vs $1.00/1M tokens.
Context Window
MiniMax M2 supports a larger context: 1M vs 262K tokens.
Recency
MiniMax M2 is newer: released 10/26/2025 vs 9/4/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Kimi K2-Thinking-0905 or MiniMax M2?
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 M2?
Kimi K2-Thinking-0905 is cheaper for input: $0.60 per 1M tokens vs $1.00.
Which has a larger context window — Kimi K2-Thinking-0905 or MiniMax M2?
MiniMax M2 supports a larger context: 1,000,000 tokens vs 262,144.
The Kimi K2-Thinking-0905 and MiniMax M2 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 M2 page. See also the complete list of AI model comparisons.