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Meta: Llama 3.2 1B Instruct API Pricing

Meta: Llama 3.2 1B Instruct costs $0.027 per 1M input tokens and $0.201 per 1M output tokens. Context window: 60K. Prices verified 2026-10-21 · source

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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
4.6M
HF downloads
2K
Likes

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

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

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

Intelligence & capability
via Artificial Analysis
4.8
Intelligence index · top 100% of 288 scored
$0.0705
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
$0.027
Output / 1M tokens
$0.201
Context window
60K
Max output
54K
Knowledge cutoff
2023-12-31

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

What would Meta: Llama 3.2 1B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.02
Coding agent5,0008,000 / 2,000$3.09
RAG pipeline30,0004,000 / 500$6.25
Doc summarizer2,00020,000 / 1,000$1.48

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

About Meta: Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

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Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Meta: Llama 3.2 1B Instruct cost?

Meta: Llama 3.2 1B Instruct costs $0.027 per 1M input tokens and $0.201 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

60K tokens, with up to 54K output tokens per response. That's roughly 75 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?

Check the value chart for models with similar intelligence at lower cost.

Official resources