Mistral Small 3.2 24 B Instruct 2506 vs Qwen 3.5.9 B: cost comparison
Prices updated 2026-11-05 · computed from live provider data
Short answer: Qwen 3.5.9 B is cheaper on a
3:1 input/output blend — $0.100 per million tokens versus
$0.138, a 27% difference.
Qwen 3.5.9 B offers the larger context window at 262,144 tokens, against 128,000 for Mistral Small 3.2 24 B Instruct 2506.
Head to head
| Mistral Small 3.2 24 B Instruct 2506 | Qwen 3.5.9 B | |
|---|---|---|
| Input, per 1M tokens | $0.090 | $0.090 |
| Output, per 1M tokens | $0.280 | $0.130 |
| Blended 3:1, per 1M | $0.138 | $0.100 |
| Context window | 128,000 | 262,144 |
| Vendor | ovhcloud | empiriolabs |
Monthly cost at real volumes
| Workload (input / output) | Mistral Small 3.2 24 B Instruct 2506 | Qwen 3.5.9 B |
|---|---|---|
| 1M in / 250K out | $0.160 | $0.122 |
| 10M in / 2.5M out | $1.60 | $1.23 |
| 100M in / 25M out | $16.00 | $12.25 |
Which should you pick?
Pick Qwen 3.5.9 B when you need the longer context window (262,144 vs 128,000 tokens). Pick Qwen 3.5.9 B when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.