Kimi K2.6 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | April 20, 2026 | July 24, 2025 |
| Parameters | 1.0T | 235B |
| Multimodal | Yes | No |
| Context (input) | 262K | 256K |
| Context (output) | 131K | 131K |
| Input Price / 1M | $1.20 | $0.30 |
| Output Price / 1M | $4.50 | $3.00 |
| 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-Thinking-2507 — 0.9.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper: input $0.30/1M vs $1.20/1M tokens.
Context Window
Kimi K2.6 supports a larger context: 262K vs 256K tokens.
Recency
Kimi K2.6 is newer: released 4/20/2026 vs 7/24/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Kimi K2.6 or Qwen3-235B-A22B-Thinking-2507?
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-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $1.20.
Which has a larger context window — Kimi K2.6 or Qwen3-235B-A22B-Thinking-2507?
Kimi K2.6 supports a larger context: 262,144 tokens vs 256,000.
The Kimi K2.6 and Qwen3-235B-A22B-Thinking-2507 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-Thinking-2507 page. See also the complete list of AI model comparisons.