Qwen3 VL 4B Instruct vs Qwen3 VL 4B Thinking: Specs & Benchmark Comparison
| Characteristic | Qwen3 VL 4B Instruct | Qwen3 VL 4B Thinking |
|---|---|---|
| Company | Alibaba | Alibaba |
| Release Date | September 22, 2025 | September 22, 2025 |
| Parameters | 4B | 4B |
| Multimodal | Yes | Yes |
| Context (input) | 262K | 262K |
| Context (output) | 262K | 262K |
| Input Price / 1M | $0.10 | $0.10 |
| Output Price / 1M | $0.60 | $1.00 |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| DocVQA | 0.9 | 0.9 |
| ScreenSpot | 0.9 | 0.9 |
Visual Benchmark Comparison
Qwen3 VL 4B Instruct
Qwen3 VL 4B Thinking
DocVQA0.9 vs 0.9
0.9
0.9
ScreenSpot0.9 vs 0.9
0.9
0.9
Verdict
Qwen3 VL 4B Instruct leads in 1 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Qwen3 VL 4B Instruct — 0.9, Qwen3 VL 4B Thinking — 0.9.
API Cost
Qwen3 VL 4B Instruct is 1.6x cheaper: input $0.10/1M vs $0.10/1M tokens.
Context Window
Same context size: 262K tokens.
Recency
Both models were released around the same time: 9/22/2025 and 9/22/2025.
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Frequently Asked Questions
Which is better for coding — Qwen3 VL 4B Instruct or Qwen3 VL 4B Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Qwen3 VL 4B Instruct or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Instruct is cheaper for input: $0.10 per 1M tokens vs $0.10.
Which has a larger context window — Qwen3 VL 4B Instruct or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Instruct supports a larger context: 262,144 tokens vs 262,144.
The Qwen3 VL 4B Instruct and Qwen3 VL 4B Thinking comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3 VL 4B Instruct or Qwen3 VL 4B Thinking page. See also the complete list of AI model comparisons.