Kimi K2 0905 vs MiniMax M2.1: Specs & Benchmark Comparison
| Characteristic | Kimi K2 0905 | MiniMax M2.1 |
|---|---|---|
| Company | Moonshot AI | MiniMax |
| Release Date | September 5, 2025 | December 22, 2025 |
| Parameters | 1.0T | — |
| Multimodal | No | No |
| Context (input) | 262K | 1.0M |
| Context (output) | 262K | 100K |
| Input Price / 1M | $0.60 | $0.30 |
| Output Price / 1M | $2.50 | $1.20 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.9 |
| GPQA | 0.8 | 0.8 |
Visual Benchmark Comparison
Kimi K2 0905
MiniMax M2.1
MMLU-Pro0.8 vs 0.9
0.8
0.9
GPQA0.8 vs 0.8
0.8
0.8
Verdict
MiniMax M2.1 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2 0905 — 0.8, MiniMax M2.1 — 0.9.
API Cost
MiniMax M2.1 is 2.1x cheaper: input $0.30/1M vs $0.60/1M tokens.
Context Window
MiniMax M2.1 supports a larger context: 1M vs 262K tokens.
Recency
MiniMax M2.1 is newer: released 12/22/2025 vs 9/5/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Kimi K2 0905 or MiniMax M2.1?
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 0905 or MiniMax M2.1?
MiniMax M2.1 is cheaper for input: $0.30 per 1M tokens vs $0.60.
Which has a larger context window — Kimi K2 0905 or MiniMax M2.1?
MiniMax M2.1 supports a larger context: 1,000,000 tokens vs 262,144.
The Kimi K2 0905 and MiniMax M2.1 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 0905 or MiniMax M2.1 page. See also the complete list of AI model comparisons.