Gemini 3.7 Flash vs Qwen3 VL 4B Thinking: Specs & Benchmark Comparison
| Characteristic | Gemini 3.7 Flash | Qwen3 VL 4B Thinking |
|---|---|---|
| Company | Alibaba | |
| Release Date | August 13, 2026 | September 22, 2025 |
| Parameters | — | 4B |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 66K | 262K |
| Input Price / 1M | $0.75 | $0.10 |
| Output Price / 1M | $3.75 | $1.00 |
| Average Score | 0.8 | 0.9 |
Verdict
Gemini 3.7 Flash leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.7 Flash — 0.8, Qwen3 VL 4B Thinking — 0.9.
API Cost
Qwen3 VL 4B Thinking is 4.1x cheaper: input $0.10/1M vs $0.75/1M tokens.
Context Window
Gemini 3.7 Flash supports a larger context: 1M vs 262K tokens.
Recency
Gemini 3.7 Flash is newer: released 8/13/2026 vs 9/22/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — Gemini 3.7 Flash 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 3.7 Flash or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Thinking is cheaper for input: $0.10 per 1M tokens vs $0.75.
Which has a larger context window — Gemini 3.7 Flash or Qwen3 VL 4B Thinking?
Gemini 3.7 Flash supports a larger context: 1,000,000 tokens vs 262,144.
The Gemini 3.7 Flash 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 3.7 Flash or Qwen3 VL 4B Thinking page. See also the complete list of AI model comparisons.