Kimi K2 0905 vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | Kimi K2 0905 | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | Moonshot AI | Moonshot AI |
| Release Date | September 5, 2025 | September 4, 2025 |
| Parameters | 1.0T | 1.0T |
| Multimodal | No | No |
| Context (input) | 262K | 262K |
| Context (output) | 262K | 66K |
| Input Price / 1M | $0.60 | $0.60 |
| Output Price / 1M | $2.50 | $2.40 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
Visual Benchmark Comparison
Kimi K2 0905
Kimi K2-Thinking-0905
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
Verdict
Kimi K2-Thinking-0905 leads in 1 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2 0905 — 0.8, Kimi K2-Thinking-0905 — 0.9.
API Cost
Kimi K2-Thinking-0905 is 1.0x cheaper: input $0.60/1M vs $0.60/1M tokens.
Context Window
Same context size: 262K tokens.
Recency
Both models were released around the same time: 9/5/2025 and 9/4/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Kimi K2 0905 or Kimi K2-Thinking-0905?
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 Kimi K2-Thinking-0905?
Kimi K2 0905 is cheaper for input: $0.60 per 1M tokens vs $0.60.
Which has a larger context window — Kimi K2 0905 or Kimi K2-Thinking-0905?
Kimi K2 0905 supports a larger context: 262,144 tokens vs 262,144.
The Kimi K2 0905 and Kimi K2-Thinking-0905 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 Kimi K2-Thinking-0905 page. See also the complete list of AI model comparisons.