GPT OSS 20 B vs Ling 3.0 Tiny: cost comparison
Prices updated 2026-11-06 · computed from live provider data
Short answer: Ling 3.0 Tiny is cheaper on a
3:1 input/output blend — $0.022 per million tokens versus
$0.028, a 21% difference.
Ling 3.0 Tiny offers the larger context window at 262,144 tokens, against 131,072 for GPT OSS 20 B.
Head to head
| GPT OSS 20 B | Ling 3.0 Tiny | |
|---|---|---|
| Input, per 1M tokens | $0.015 | $0.015 |
| Output, per 1M tokens | $0.070 | $0.045 |
| Blended 3:1, per 1M | $0.028 | $0.022 |
| Context window | 131,072 | 262,144 |
| Vendor | darkbloom | inclusionai |
Monthly cost at real volumes
| Workload (input / output) | GPT OSS 20 B | Ling 3.0 Tiny |
|---|---|---|
| 1M in / 250K out | $0.032 | $0.026 |
| 10M in / 2.5M out | $0.320 | $0.263 |
| 100M in / 25M out | $3.20 | $2.62 |
Which should you pick?
Pick Ling 3.0 Tiny when you need the longer context window (262,144 vs 131,072 tokens). Pick Ling 3.0 Tiny when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.