Hermes 3.8 B vs Lfm 7 B: cost comparison
Prices updated 2026-10-28 · computed from live provider data
Short answer: Lfm 7 B is cheaper on a
3:1 input/output blend — $0.029 per million tokens versus
$0.029, a 0% difference.
Both offer the same 131,072-token context window, so cost is the deciding factor.
Head to head
| Hermes 3.8 B | Lfm 7 B | |
|---|---|---|
| Input, per 1M tokens | $0.025 | $0.025 |
| Output, per 1M tokens | $0.040 | $0.040 |
| Blended 3:1, per 1M | $0.029 | $0.029 |
| Context window | 131,072 | 131,072 |
| Vendor | lambda_ai | lambda_ai |
Monthly cost at real volumes
| Workload (input / output) | Hermes 3.8 B | Lfm 7 B |
|---|---|---|
| 1M in / 250K out | $0.035 | $0.035 |
| 10M in / 2.5M out | $0.350 | $0.350 |
| 100M in / 25M out | $3.50 | $3.50 |
Which should you pick?
Because the context windows are identical, the cheaper option is the better default. Choose Lfm 7 B unless you are already standardised on lambda_ai tooling and want to avoid a second integration.