GLM-4.5 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | GLM-4.5 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | July 27, 2025 | July 24, 2025 |
| Parameters | 355B | 235B |
| Multimodal | No | No |
| Context (input) | 131K | 256K |
| Context (output) | 98K | 131K |
| Input Price / 1M | $0.60 | $0.30 |
| Output Price / 1M | $2.20 | $3.00 |
| Average Score | 0.8 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-4.5 — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
GLM-4.5 is 1.2x cheaper: input $0.60/1M vs $0.30/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 131K tokens.
Recency
Both models were released around the same time: 7/27/2025 and 7/24/2025.
More About These Models
Related Comparisons
The GLM-4.5 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 GLM-4.5 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.