Llama 3.2 11 B vs Qwen 3.5.9 B: cost comparison
Prices updated 2026-10-27 · computed from live provider data
Short answer: Llama 3.2 11 B is cheaper on a
3:1 input/output blend — $0.160 per million tokens versus
$0.190, a 16% difference.
Qwen 3.5.9 B offers the larger context window at 262,144 tokens, against 128,000 for Llama 3.2 11 B.
Head to head
| Llama 3.2 11 B | Qwen 3.5.9 B | |
|---|---|---|
| Input, per 1M tokens | $0.160 | $0.170 |
| Output, per 1M tokens | $0.160 | $0.250 |
| Blended 3:1, per 1M | $0.160 | $0.190 |
| Context window | 128,000 | 262,144 |
| Vendor | vercel_ai_gateway | qwen |
Monthly cost at real volumes
| Workload (input / output) | Llama 3.2 11 B | Qwen 3.5.9 B |
|---|---|---|
| 1M in / 250K out | $0.200 | $0.233 |
| 10M in / 2.5M out | $2.00 | $2.33 |
| 100M in / 25M out | $20.00 | $23.25 |
Which should you pick?
Pick Qwen 3.5.9 B when you need the longer context window (262,144 vs 128,000 tokens). Pick Llama 3.2 11 B when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.