GLM-5.1 vs Qwen3.8 Max: Specs & Benchmark Comparison
| Characteristic | GLM-5.1 | Qwen3.8 Max |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | April 7, 2026 | August 2, 2026 |
| Parameters | 754B | 2.4T |
| Multimodal | No | Yes |
| Context (input) | 200K | 1.0M |
| Context (output) | 131K | 131K |
| Input Price / 1M | $1.40 | $2.50 |
| Output Price / 1M | $4.40 | $6.25 |
| Average Score | 0.9 | 0.9 |
Verdict
Qwen3.8 Max leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.1 — 0.9, Qwen3.8 Max — 0.9.
API Cost
GLM-5.1 is 1.5x cheaper: input $1.40/1M vs $2.50/1M tokens.
Context Window
Qwen3.8 Max supports a larger context: 1M vs 200K tokens.
Recency
Qwen3.8 Max is newer: released 8/2/2026 vs 4/7/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.1 or Qwen3.8 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-5.1 or Qwen3.8 Max?
GLM-5.1 is cheaper for input: $1.40 per 1M tokens vs $2.50.
Which has a larger context window — GLM-5.1 or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,000,000 tokens vs 200,000.
The GLM-5.1 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-5.1 or Qwen3.8 Max page. See also the complete list of AI model comparisons.