GPT-5.6 Luna vs Qwen3 VL 4B Thinking: Specs & Benchmark Comparison
| Characteristic | GPT-5.6 Luna | Qwen3 VL 4B Thinking |
|---|---|---|
| Company | OpenAI | Alibaba |
| Release Date | July 9, 2026 | September 22, 2025 |
| Parameters | — | 4B |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 262K |
| Context (output) | 128K | 262K |
| Input Price / 1M | $0.20 | $0.10 |
| Output Price / 1M | $1.20 | $1.00 |
| Average Score | 0.5 | 0.9 |
Verdict
GPT-5.6 Luna leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.6 Luna — 0.5, Qwen3 VL 4B Thinking — 0.9.
API Cost
Qwen3 VL 4B Thinking is 1.3x cheaper: input $0.10/1M vs $0.20/1M tokens.
Context Window
GPT-5.6 Luna supports a larger context: 1M vs 262K tokens.
Recency
GPT-5.6 Luna is newer: released 7/9/2026 vs 9/22/2025.
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Frequently Asked Questions
Which is better for coding — GPT-5.6 Luna 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 — GPT-5.6 Luna or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Thinking is cheaper for input: $0.10 per 1M tokens vs $0.20.
Which has a larger context window — GPT-5.6 Luna or Qwen3 VL 4B Thinking?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 262,144.
The GPT-5.6 Luna 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 GPT-5.6 Luna or Qwen3 VL 4B Thinking page. See also the complete list of AI model comparisons.