Qwen 2 VL 7 B Instruct vs Lfm 2.5 1.2 B Instruct: cost comparison
Prices updated 2026-10-30 · computed from live provider data
Short answer: Lfm 2.5 1.2 B Instruct is cheaper on a
3:1 input/output blend — $0.028 per million tokens versus
$0.030, a 8% difference.
Qwen 2 VL 7 B Instruct offers the larger context window at 131,072 tokens, against 32,768 for Lfm 2.5 1.2 B Instruct.
Head to head
| Qwen 2 VL 7 B Instruct | Lfm 2.5 1.2 B Instruct | |
|---|---|---|
| Input, per 1M tokens | $0.020 | $0.020 |
| Output, per 1M tokens | $0.060 | $0.050 |
| Blended 3:1, per 1M | $0.030 | $0.028 |
| Context window | 131,072 | 32,768 |
| Vendor | nebius | zerogpu |
Monthly cost at real volumes
| Workload (input / output) | Qwen 2 VL 7 B Instruct | Lfm 2.5 1.2 B Instruct |
|---|---|---|
| 1M in / 250K out | $0.035 | $0.033 |
| 10M in / 2.5M out | $0.350 | $0.325 |
| 100M in / 25M out | $3.50 | $3.25 |
Which should you pick?
Pick Qwen 2 VL 7 B Instruct when you need the longer context window (131,072 vs 32,768 tokens). Pick Lfm 2.5 1.2 B Instruct when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.