Qwen3 235B A22B Thinking 2507 vs Qwen3.6 27B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen3 235B A22B Thinking 2507 and Qwen3.6 27B.
Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Qwen3.6 27B
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Technical Specifications
| Specification | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B |
|---|---|---|
| Provider | Alibaba | Alibaba |
| Context Window | 262,144 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-07-25 | 2026-04-27 |
API Pricing Comparison
Input Price per Million Tokens
Qwen3 235B A22B Thinking 2507
$0.15
Qwen3.6 27B
$0.28
Output Price per Million Tokens
Qwen3 235B A22B Thinking 2507
$1.50
Qwen3.6 27B
$2.40
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.
Qwen3.6 27B Quirks & Gotchas
No developer gotchas reported.