Llama 3.2 11 B Vision Instruct vs Llama 3.2.3 B Instruct: cost comparison
Prices updated 2026-10-28 · computed from live provider data
Short answer: Llama 3.2.3 B Instruct is cheaper on a
3:1 input/output blend — $0.018 per million tokens versus
$0.018, a 0% difference.
Both offer the same 131,072-token context window, so cost is the deciding factor.
Head to head
| Llama 3.2 11 B Vision Instruct | Llama 3.2.3 B Instruct | |
|---|---|---|
| Input, per 1M tokens | $0.015 | $0.015 |
| Output, per 1M tokens | $0.025 | $0.025 |
| Blended 3:1, per 1M | $0.018 | $0.018 |
| Context window | 131,072 | 131,072 |
| Vendor | lambda_ai | lambda_ai |
Monthly cost at real volumes
| Workload (input / output) | Llama 3.2 11 B Vision Instruct | Llama 3.2.3 B Instruct |
|---|---|---|
| 1M in / 250K out | $0.021 | $0.021 |
| 10M in / 2.5M out | $0.212 | $0.212 |
| 100M in / 25M out | $2.12 | $2.12 |
Which should you pick?
Because the context windows are identical, the cheaper option is the better default. Choose Llama 3.2.3 B Instruct unless you are already standardised on lambda_ai tooling and want to avoid a second integration.