GPT-5.4 nano vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | GPT-5.4 nano | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | OpenAI | Alibaba |
| Release Date | March 1, 2026 | September 21, 2025 |
| Parameters | — | 33B |
| Multimodal | Yes | Yes |
| Context (input) | 400K | — |
| Context (output) | 128K | — |
| Input Price / 1M | $0.12 | — |
| Output Price / 1M | $1.50 | — |
| Average Score | 0.7 | 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 0.7.
Recency
GPT-5.4 nano is newer: released 3/1/2026 vs 9/21/2025.
More About These Models
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The GPT-5.4 nano 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 GPT-5.4 nano or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.