GLM-5.3 vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | GLM-5.3 | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | August 14, 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 | 0.8 | 144.5 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.8.
Recency
GLM-5.3 is newer: released 8/14/2026 vs 9/21/2025.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Qwen3 VL 32B Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.3 or Qwen3 VL 32B Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — GLM-5.3 or Qwen3 VL 32B Thinking?
Context window data is available on the individual model pages.
The GLM-5.3 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-5.3 or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.