Qwen 3.6 35 B A3 B Thinking vs Openai GPT-5 Nano: cost comparison
Prices updated 2026-10-27 · computed from live provider data
Short answer: Qwen 3.6 35 B A3 B Thinking is cheaper on a
3:1 input/output blend — $0.237 per million tokens versus
$0.263, a 10% difference.
Openai GPT-5 Nano offers the larger context window at 5,000,000 tokens, against 262,144 for Qwen 3.6 35 B A3 B Thinking.
Head to head
| Qwen 3.6 35 B A3 B Thinking | Openai GPT-5 Nano | |
|---|---|---|
| Input, per 1M tokens | $0.150 | $0.150 |
| Output, per 1M tokens | $0.500 | $0.600 |
| Blended 3:1, per 1M | $0.237 | $0.263 |
| Context window | 262,144 | 5,000,000 |
| Vendor | libertai | snowflake |
Monthly cost at real volumes
| Workload (input / output) | Qwen 3.6 35 B A3 B Thinking | Openai GPT-5 Nano |
|---|---|---|
| 1M in / 250K out | $0.275 | $0.300 |
| 10M in / 2.5M out | $2.75 | $3.00 |
| 100M in / 25M out | $27.50 | $30.00 |
Which should you pick?
Pick Openai GPT-5 Nano when you need the longer context window (5,000,000 vs 262,144 tokens). Pick Qwen 3.6 35 B A3 B Thinking when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.