GLM-5.2 vs Qwen3.7 Max: Specs & Benchmark Comparison
| Characteristic | GLM-5.2 | Qwen3.7 Max |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | June 16, 2026 | May 19, 2026 |
| Parameters | 753B | — |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 66K |
| Input Price / 1M | $1.40 | $2.50 |
| Output Price / 1M | $4.40 | $7.50 |
| Average Score | 0.9 | 1.0 |
| Benchmarks | ||
| HMMT Feb 26 | 0.9 | 1.0 |
Visual Benchmark Comparison
GLM-5.2
Qwen3.7 Max
HMMT Feb 260.9 vs 1.0
0.9
1.0
Verdict
GLM-5.2 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.2 — 0.9, Qwen3.7 Max — 1.0.
API Cost
GLM-5.2 is 1.7x cheaper: input $1.40/1M vs $2.50/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
GLM-5.2 is newer: released 6/16/2026 vs 5/19/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or Qwen3.7 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.2 or Qwen3.7 Max?
GLM-5.2 is cheaper for input: $1.40 per 1M tokens vs $2.50.
Which has a larger context window — GLM-5.2 or Qwen3.7 Max?
GLM-5.2 supports a larger context: 1,000,000 tokens vs 1,000,000.
The GLM-5.2 and Qwen3.7 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or Qwen3.7 Max page. See also the complete list of AI model comparisons.