Contact Sales: enterprise access, token prices and rate limits require a quote. Numerical rates retained only as historical observations.
Current price verification is unresolved or overdue. These are the last recorded rates; check the official source before budgeting. We do not relabel an old check with today's build date.
Llama 3.1 8B Instant API Pricing
Contact Sales: enterprise access, token prices and rate limits require a quote. Numerical rates retained only as historical observations. No directly comparable current token quote is available. These rates were last verified on .
Contact Sales: enterprise access, token prices and rate limits require a quote. Numerical rates retained only as historical observations.
Published rates and billing units
| Billing dimension | USD list price |
|---|
Verified 2026-08-12 · Official source · Pricing methodology. Taxes, optional services and account-specific discounts are not included.
Contact Sales: enterprise access, token prices and rate limits require a quote. Numerical rates retained only as historical observations.
Cost examples
These examples use published list prices only. They exclude taxes, enterprise discounts, minimum charges, retries, batch discounts, and provider-specific billing rules.
1M input + 1M output
—
A direct per-million comparison against every other text model.
100K input + 25K output
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A compact chat, summarization, or analysis workload.
10M input + 2M output
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A monthly production estimate for heavier RAG or agent traffic.
75% cached input + 250K output
Not listed
Groq does not publish a cached-input rate for this model in our dataset.
Calculator for Llama 3.1 8B Instant
Enter your own input, output, and cached-token assumptions. This calculator is preloaded with only Llama 3.1 8B Instant, so the result stays focused on this model.
Contact Sales: enterprise access, token prices and rate limits require a quote. Numerical rates retained only as historical observations. Token-only calculation unavailable.
Price history
No list-price movement across 203 daily snapshots from 2026-04-22 to 2026-11-11.
When to use Llama 3.1 8B Instant
Good fit
- high-volume routing, classification, extraction, summaries, and fallback traffic
Be careful with
- frontier reasoning or ambiguous tasks where failure is more expensive than token spend