Qwen3-235B-A22B-Thinking-2507 vs Qwen3.6-27B: Specs & Benchmark Comparison
| Characteristic | Qwen3-235B-A22B-Thinking-2507 | Qwen3.6-27B |
|---|---|---|
| Company | Alibaba | Alibaba |
| Release Date | July 24, 2025 | April 21, 2026 |
| Parameters | 235B | 28B |
| Multimodal | No | Yes |
| Context (input) | 256K | 262K |
| Context (output) | 131K | 66K |
| Input Price / 1M | $0.30 | $0.60 |
| Output Price / 1M | $3.00 | $3.60 |
| Average Score | 0.9 | 1.0 |
Verdict
Qwen3.6-27B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Qwen3-235B-A22B-Thinking-2507 — 0.9, Qwen3.6-27B — 1.0.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 1.3x cheaper: input $0.30/1M vs $0.60/1M tokens.
Context Window
Qwen3.6-27B supports a larger context: 262K vs 256K tokens.
Recency
Qwen3.6-27B is newer: released 4/21/2026 vs 7/24/2025.
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Frequently Asked Questions
Which is better for coding — Qwen3-235B-A22B-Thinking-2507 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 — Qwen3-235B-A22B-Thinking-2507 or Qwen3.6-27B?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $0.60.
Which has a larger context window — Qwen3-235B-A22B-Thinking-2507 or Qwen3.6-27B?
Qwen3.6-27B supports a larger context: 262,144 tokens vs 256,000.
The Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 or Qwen3.6-27B page. See also the complete list of AI model comparisons.