Trinity Mini vs GPT OSS 120 B: cost comparison
Prices updated 2026-10-31 · computed from live provider data
Short answer: Trinity Mini is cheaper on a
3:1 input/output blend — $0.071 per million tokens versus
$0.093, a 23% difference.
Both offer the same 128,000-token context window, so cost is the deciding factor.
Head to head
| Trinity Mini | GPT OSS 120 B | |
|---|---|---|
| Input, per 1M tokens | $0.045 | $0.047 |
| Output, per 1M tokens | $0.150 | $0.230 |
| Blended 3:1, per 1M | $0.071 | $0.093 |
| Context window | 128,000 | 128,000 |
| Vendor | together_ai | kyma |
Monthly cost at real volumes
| Workload (input / output) | Trinity Mini | GPT OSS 120 B |
|---|---|---|
| 1M in / 250K out | $0.083 | $0.105 |
| 10M in / 2.5M out | $0.825 | $1.05 |
| 100M in / 25M out | $8.25 | $10.49 |
Which should you pick?
Because the context windows are identical, the cheaper option is the better default. Choose Trinity Mini unless you are already standardised on kyma tooling and want to avoid a second integration.