Ling 3.0 Tiny vs Llama 3.2 11 B Vision Instruct: cost comparison
Prices updated 2026-11-06 · computed from live provider data
Short answer: Llama 3.2 11 B Vision Instruct is cheaper on a
3:1 input/output blend — $0.018 per million tokens versus
$0.022, a 22% difference.
Ling 3.0 Tiny offers the larger context window at 262,144 tokens, against 131,072 for Llama 3.2 11 B Vision Instruct.
Head to head
| Ling 3.0 Tiny | Llama 3.2 11 B Vision Instruct | |
|---|---|---|
| Input, per 1M tokens | $0.015 | $0.015 |
| Output, per 1M tokens | $0.045 | $0.025 |
| Blended 3:1, per 1M | $0.022 | $0.018 |
| Context window | 262,144 | 131,072 |
| Vendor | inclusionai | lambda_ai |
Monthly cost at real volumes
| Workload (input / output) | Ling 3.0 Tiny | Llama 3.2 11 B Vision Instruct |
|---|---|---|
| 1M in / 250K out | $0.026 | $0.021 |
| 10M in / 2.5M out | $0.263 | $0.212 |
| 100M in / 25M out | $2.62 | $2.12 |
Which should you pick?
Pick Ling 3.0 Tiny when you need the longer context window (262,144 vs 131,072 tokens). Pick Llama 3.2 11 B Vision Instruct when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.