Kimi K2.6 vs Qwen3.6-27B: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Qwen3.6-27B |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | April 20, 2026 | April 21, 2026 |
| Parameters | 1.0T | 28B |
| Multimodal | Yes | Yes |
| Context (input) | 262K | 262K |
| Context (output) | 131K | 66K |
| Input Price / 1M | $1.20 | $0.60 |
| Output Price / 1M | $4.50 | $3.60 |
| Average Score | 0.9 | 1.0 |
| Benchmarks | ||
| V* | 1.0 | 0.9 |
Visual Benchmark Comparison
Kimi K2.6
Qwen3.6-27B
V*1.0 vs 0.9
1.0
0.9
Verdict
Qwen3.6-27B leads in 1 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2.6 — 0.9, Qwen3.6-27B — 1.0.
API Cost
Qwen3.6-27B is 1.4x cheaper: input $0.60/1M vs $1.20/1M tokens.
Context Window
Same context size: 262K tokens.
Recency
Both models were released around the same time: 4/20/2026 and 4/21/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — Kimi K2.6 or Qwen3.6-27B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K2.6 or Qwen3.6-27B?
Qwen3.6-27B is cheaper for input: $0.60 per 1M tokens vs $1.20.
Which has a larger context window — Kimi K2.6 or Qwen3.6-27B?
Kimi K2.6 supports a larger context: 262,144 tokens vs 262,144.
The Kimi K2.6 and Qwen3.6-27B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K2.6 or Qwen3.6-27B page. See also the complete list of AI model comparisons.