GPT-5.6 Luna Pro vs Qwen 3 VL 30 B A3 B Thinking: cost comparison
Prices updated 2026-10-31 · computed from live provider data
Short answer: Qwen 3 VL 30 B A3 B Thinking is cheaper on a
3:1 input/output blend — $0.468 per million tokens versus
$0.608, a 23% difference.
GPT-5.6 Luna Pro offers the larger context window at 1,050,000 tokens, against 262,144 for Qwen 3 VL 30 B A3 B Thinking.
Head to head
| GPT-5.6 Luna Pro | Qwen 3 VL 30 B A3 B Thinking | |
|---|---|---|
| Input, per 1M tokens | $0.270 | $0.290 |
| Output, per 1M tokens | $1.62 | $1.00 |
| Blended 3:1, per 1M | $0.608 | $0.468 |
| Context window | 1,050,000 | 262,144 |
| Vendor | kyma | qwen |
Monthly cost at real volumes
| Workload (input / output) | GPT-5.6 Luna Pro | Qwen 3 VL 30 B A3 B Thinking |
|---|---|---|
| 1M in / 250K out | $0.676 | $0.540 |
| 10M in / 2.5M out | $6.76 | $5.40 |
| 100M in / 25M out | $67.56 | $54.00 |
Which should you pick?
Pick GPT-5.6 Luna Pro when you need the longer context window (1,050,000 vs 262,144 tokens). Pick Qwen 3 VL 30 B A3 B Thinking when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.