Qwen3 VL 4B Thinking vs Qwen3.7 Max: Specs & Benchmark Comparison
| Characteristic | Qwen3 VL 4B Thinking | Qwen3.7 Max |
|---|---|---|
| Company | Alibaba | Alibaba |
| Release Date | September 22, 2025 | May 19, 2026 |
| Parameters | 4B | — |
| Multimodal | Yes | No |
| Context (input) | 262K | 1.0M |
| Context (output) | 262K | 66K |
| Input Price / 1M | $0.10 | $2.50 |
| Output Price / 1M | $1.00 | $7.50 |
| Average Score | 0.9 | 1.0 |
Verdict
Qwen3.7 Max leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Qwen3 VL 4B Thinking — 0.9, Qwen3.7 Max — 1.0.
API Cost
Qwen3 VL 4B Thinking is 9.1x cheaper: input $0.10/1M vs $2.50/1M tokens.
Context Window
Qwen3.7 Max supports a larger context: 1M vs 262K tokens.
Recency
Qwen3.7 Max is newer: released 5/19/2026 vs 9/22/2025.
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Frequently Asked Questions
Which is better for coding — Qwen3 VL 4B Thinking or Qwen3.7 Max?
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 Thinking or Qwen3.7 Max?
Qwen3 VL 4B Thinking is cheaper for input: $0.10 per 1M tokens vs $2.50.
Which has a larger context window — Qwen3 VL 4B Thinking or Qwen3.7 Max?
Qwen3.7 Max supports a larger context: 1,000,000 tokens vs 262,144.
The Qwen3 VL 4B Thinking and Qwen3.7 Max 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 Thinking or Qwen3.7 Max page. See also the complete list of AI model comparisons.