Gemini 3 Pro vs Qwen3 VL 4B Thinking: Specs & Benchmark Comparison
| Characteristic | Gemini 3 Pro | Qwen3 VL 4B Thinking |
|---|---|---|
| Company | Alibaba | |
| Release Date | November 17, 2025 | September 22, 2025 |
| Parameters | — | 4B |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 66K | 262K |
| Input Price / 1M | $2.00 | $0.10 |
| Output Price / 1M | $12.00 | $1.00 |
| Average Score | 0.9 | 0.9 |
Verdict
Gemini 3 Pro leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3 Pro — 0.9, Qwen3 VL 4B Thinking — 0.9.
API Cost
Qwen3 VL 4B Thinking is 12.7x cheaper: input $0.10/1M vs $2.00/1M tokens.
Context Window
Gemini 3 Pro supports a larger context: 1M vs 262K tokens.
Recency
Gemini 3 Pro is newer: released 11/17/2025 vs 9/22/2025.
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Frequently Asked Questions
Which is better for coding — Gemini 3 Pro 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 — Gemini 3 Pro or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Thinking is cheaper for input: $0.10 per 1M tokens vs $2.00.
Which has a larger context window — Gemini 3 Pro or Qwen3 VL 4B Thinking?
Gemini 3 Pro supports a larger context: 1,048,576 tokens vs 262,144.
The Gemini 3 Pro 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 Gemini 3 Pro or Qwen3 VL 4B Thinking page. See also the complete list of AI model comparisons.