Llama 3.1 70B Instruct API Pricing
Meta · Budget · Llama 3.x · released 2024-07. Prices in USD per 1 million tokens. Data snapshot: 2026-08-19.
- Input: $0.40 per 1M tokens
- Output: $0.40 per 1M tokens
- Batch API (input/output): not published
- Prompt-cache read: not published
- Context window: 131K
- Arena ELO: 1227 (as of 2026-08-13)
Cost per request by business use case
List price vs optimized (prompt caching on the cached input share, batch API for async workloads, only where the provider publishes those rates).
| Use case | Tokens (in/out) | Cost/req (list) | Cost/req (optimized) | Monthly @100K req |
|---|---|---|---|---|
| Support Ticket | 1,500 / 500 | $0.000800 | $0.000800 | $80 |
| Knowledge Q&A | 2,000 / 800 | $0.0011 | $0.0011 | $112 |
| Meeting Summary | 10,000 / 1,200 | $0.0045 | $0.0045 | $448 |
| Marketing Content | 2,500 / 1,800 | $0.0017 | $0.0017 | $172 |
| Coding Task | 3,000 / 2,000 | $0.0020 | $0.0020 | $200 |
| Invoice Processing | 1,500 / 600 | $0.000840 | $0.000840 | $84 |
| Call Summary | 2,000 / 700 | $0.0011 | $0.0011 | $108 |
| Agent Workflow | 6,000 / 3,000 | $0.0036 | $0.0036 | $360 |
These are list prices: real cost also depends on caching, batching, negotiated discounts, marketplace agreements, and existing contracts. Get a FinOps review from OptimNow or compare all models.
Build the business case for Llama 3.1 70B Instruct in the AI ROI Calculator: add your business value on top of these costs to get ROI, break-even and payback.