GLM-5 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | GLM-5 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | February 10, 2026 | July 24, 2025 |
| Parameters | 744B | 235B |
| Multimodal | No | No |
| Context (input) | 200K | 256K |
| Context (output) | 128K | 131K |
| Input Price / 1M | — | $0.30 |
| Output Price / 1M | $0.00 | $3.00 |
| Average Score | 0.7 | 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-5 — 0.7, Qwen3-235B-A22B-Thinking-2507 — 0.9.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 200K tokens.
Recency
GLM-5 is newer: released 2/10/2026 vs 7/24/2025.
More About These Models
Related Comparisons
The GLM-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-5 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.