GPT-5.4 Nano vs Llama 3.8 B Instruct: cost comparison
Prices updated 2026-10-27 · computed from live provider data
Short answer: Llama 3.8 B Instruct is cheaper on a
3:1 input/output blend — $0.200 per million tokens versus
$0.463, a 57% difference.
GPT-5.4 Nano offers the larger context window at 272,000 tokens, against 8,192 for Llama 3.8 B Instruct.
Head to head
| GPT-5.4 Nano | Llama 3.8 B Instruct | |
|---|---|---|
| Input, per 1M tokens | $0.200 | $0.200 |
| Output, per 1M tokens | $1.25 | $0.200 |
| Blended 3:1, per 1M | $0.463 | $0.200 |
| Context window | 272,000 | 8,192 |
| Vendor | gpt | gradient_ai |
Monthly cost at real volumes
| Workload (input / output) | GPT-5.4 Nano | Llama 3.8 B Instruct |
|---|---|---|
| 1M in / 250K out | $0.512 | $0.250 |
| 10M in / 2.5M out | $5.12 | $2.50 |
| 100M in / 25M out | $51.25 | $25.00 |
Which should you pick?
Pick GPT-5.4 Nano when you need the longer context window (272,000 vs 8,192 tokens). Pick Llama 3.8 B Instruct when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.