meta/meta-llama-3-8b-instruct pricing
meta/meta-llama-3-8b-instruct, Small-tier from Replicate, costs $0.05 per 1M input tokens and $0.25 per 1M output tokens.
Input$0.05per 1M tokens
Output$0.25per 1M tokens
Context window—tokens
TierSmallReplicate
Price your own workload against meta/meta-llama-3-8b-instruct in the calculator →
Specs and pricing
| Provider | Replicate |
| Tier | Small |
| Context window | — |
| Max output | — |
| Input price | $0.05 / 1M tokens |
| Output price | $0.25 / 1M tokens |
| Modalities | text |
Note. Replicate quotes $0.05 per million input tokens and $0.25 per million output tokens directly; no conversion needed.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $0.05 | $0.06 | $0.11 |
| 10,000,000 in / 2,500,000 out | $0.50 | $0.63 | $1.13 |
| 100,000,000 in / 25,000,000 out | $5.00 | $6.25 | $11.25 |
Cheaper alternatives
Same tier (Small), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| Meta-Llama-3.1-8B-Instruct-Turbo | DeepInfra | $0.02 | $0.04 | 73.3% cheaper blended |
| Solar Pro 4 | OpenRouter | $0.03 | $0.12 | 46.7% cheaper blended |
| GPT-OSS 20B | OpenRouter | $0.03 | $0.13 | 44.4% cheaper blended |
| schematron-v2-turbo | inference.net | $0.03 | $0.15 | 40% cheaper blended |
| Amazon Nova Micro | Amazon (Nova) | $0.035 | $0.14 | 37.8% cheaper blended |