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Meta: Llama 3.1 70B Instruct API Pricing

Meta: Llama 3.1 70B Instruct costs $0.400 per 1M input tokens and $0.400 per 1M output tokens. Context window: 131K. Prices verified 2026-10-21 · source

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Meta: Llama 3.1 8B Instruct
$0.050 in / $0.080 out
Quality score: 6.9

Cheapest meta-llama model — 86% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
88K
HF downloads
1K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
8 price changes in the last 59 daily snapshots
Changes roughly every 3.3 days
Last move (2026-09-22): input -44.4%

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
6.6
Intelligence index · top 94% of 288 scored
$0.4
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.400
Output / 1M tokens
$0.400
Context window
131K
Max output
16K
Knowledge cutoff
2023-12-31

Training data ends here — newer events require retrieval or web search.

What would Meta: Llama 3.1 70B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$4.80
Coding agent5,0008,000 / 2,000$20.00
RAG pipeline30,0004,000 / 500$54.00
Doc summarizer2,00020,000 / 1,000$16.80

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Meta: Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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Frequently asked questions

How much does Meta: Llama 3.1 70B Instruct cost?

Meta: Llama 3.1 70B Instruct costs $0.400 per 1M input tokens and $0.400 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 16K output tokens per response. That's roughly 164 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 93% on a typical workload with comparable quality.

Official resources