GLM-5.2 vs Qwen3.8 Max: Specs & Benchmark Comparison
GLM-5.2 is developed by Zhipu AI, while Qwen3.8 Max comes from Alibaba. GLM-5.2 was released in June 2026, and Qwen3.8 Max followed 2 months later in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 753 billion for GLM-5.2.
We have 4 benchmark results for GLM-5.2 and 2 benchmark results for Qwen3.8 Max, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
GLM-5.2 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 79% below Qwen3.8 Max at $2.50 and $6.25. Both accept a context window of about 1M tokens. GLM-5.2 accepts text as input, while Qwen3.8 Max accepts text and images.
| Characteristic | GLM-5.2 | Qwen3.8 Max |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | June 16, 2026 | August 2, 2026 |
| Parameters | 753B | 2.4T |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 131K |
| Input Price / 1M | $1.40 | $2.50 |
| Output Price / 1M | $4.40 | $6.25 |
| Average Score | 94.3% | 93.0% |
Verdict
GLM-5.2 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.2 — 0.9, Qwen3.8 Max — 0.9.
GLM-5.2 is 1.5x cheaper: input $1.40/1M vs $2.50/1M tokens.
GLM-5.2 supports a larger context: 1M vs 1M tokens.
Qwen3.8 Max is newer: released 8/2/2026 vs 6/16/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or Qwen3.8 Max?
Which model is cheaper — GLM-5.2 or Qwen3.8 Max?
Which has a larger context window — GLM-5.2 or Qwen3.8 Max?
The GLM-5.2 and Qwen3.8 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 Qwen3.8 Max page. See also the complete list of AI model comparisons.