GLM-4.7-Flash vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | January 18, 2026 | July 24, 2025 |
| Parameters | 30B | 235B |
| Multimodal | No | No |
| Context (input) | 128K | 256K |
| Context (output) | 16K | 131K |
| Input Price / 1M | $0.07 | $0.30 |
| Output Price / 1M | $0.40 | $3.00 |
| Average Score | 0.6 | 0.9 |
| Benchmarks | ||
| AIME 2025 | 0.9 | 0.9 |
Visual Benchmark Comparison
GLM-4.7-Flash
Qwen3-235B-A22B-Thinking-2507
AIME 20250.9 vs 0.9
0.9
0.9
Verdict
GLM-4.7-Flash leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.7-Flash — 0.6, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
GLM-4.7-Flash is 7.0x cheaper: input $0.07/1M vs $0.30/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 128K tokens.
Recency
GLM-4.7-Flash is newer: released 1/18/2026 vs 7/24/2025.
More About These Models
Related Comparisons
The GLM-4.7-Flash 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-4.7-Flash or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.