Kimi K2.6 vs Qwen3 235B A22B: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Qwen3 235B A22B |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | April 20, 2026 | April 28, 2025 |
| Parameters | 1.0T | 235B |
| Multimodal | Yes | No |
| Context (input) | 262K | 128K |
| Context (output) | 131K | 128K |
| Input Price / 1M | $1.20 | $0.20 |
| Output Price / 1M | $4.50 | $0.60 |
| Average Score | 0.9 | 0.9 |
Verdict
Kimi K2.6 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2.6 — 0.9, Qwen3 235B A22B — 0.9.
API Cost
Qwen3 235B A22B is 7.1x cheaper: input $0.20/1M vs $1.20/1M tokens.
Context Window
Kimi K2.6 supports a larger context: 262K vs 128K tokens.
Recency
Kimi K2.6 is newer: released 4/20/2026 vs 4/28/2025.
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Frequently Asked Questions
Which is better for coding — Kimi K2.6 or Qwen3 235B A22B?
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 235B A22B?
Qwen3 235B A22B is cheaper for input: $0.20 per 1M tokens vs $1.20.
Which has a larger context window — Kimi K2.6 or Qwen3 235B A22B?
Kimi K2.6 supports a larger context: 262,144 tokens vs 128,000.
The Kimi K2.6 and Qwen3 235B A22B 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 235B A22B page. See also the complete list of AI model comparisons.