GLM-5.2 vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
GLM-5.2 is developed by Zhipu AI, while Qwen3 VL 32B Thinking comes from Alibaba. Qwen3 VL 32B Thinking was released in September 2025, and GLM-5.2 followed 9 months later in June 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 33 billion for Qwen3 VL 32B Thinking.
We have 19 benchmark results for GLM-5.2 and 6 benchmark results for Qwen3 VL 32B Thinking, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
GLM-5.2 is available through an API at $1.40 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3 VL 32B Thinking, so pricing and context cannot be compared directly.
| Characteristic | GLM-5.2 | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | June 16, 2026 | September 21, 2025 |
| Parameters | 753B | 33B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | — |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | — |
| Output Price / 1M | $4.40 | — |
| Average Score | 60.9% | 14450.8% |
Verdict
Both models show equal results — the choice depends on your specific use case.
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.6.
GLM-5.2 is newer: released 6/16/2026 vs 9/21/2025.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or Qwen3 VL 32B Thinking?
Which model is cheaper — GLM-5.2 or Qwen3 VL 32B Thinking?
Which has a larger context window — GLM-5.2 or Qwen3 VL 32B Thinking?
The GLM-5.2 and Qwen3 VL 32B Thinking 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 VL 32B Thinking page. See also the complete list of AI model comparisons.