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Meta: Llama 3.2 3B Instruct API Pricing

Meta: Llama 3.2 3B Instruct costs $0.051 per 1M input tokens and $0.335 per 1M output tokens. Context window: 131K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput +1.8% over windowoutput +1.5%

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

Community adoption
1.1M
HF downloads
3K
Likes

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

Pricing behavior
2 price changes in the last 59 daily snapshots
Last move (2026-10-19): input +1.8%
Net input drift: +1.8% since 2026-08-23

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

Intelligence & capability
via Artificial Analysis
5.7
Intelligence index · top 97% of 288 scored
$0.1219
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
$0.051
Output / 1M tokens
$0.335
Context window
131K
Max output
72K
Knowledge cutoff
2023-12-31

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

What would Meta: Llama 3.2 3B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.75
Coding agent5,0008,000 / 2,000$5.39
RAG pipeline30,0004,000 / 500$11.13
Doc summarizer2,00020,000 / 1,000$2.71

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

About Meta: Llama 3.2 3B Instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

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Frequently asked questions

How much does Meta: Llama 3.2 3B Instruct cost?

Meta: Llama 3.2 3B Instruct costs $0.051 per 1M input tokens and $0.335 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 72K 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?

Mistral: Mistral Nemo saves about 78% on a typical workload with comparable quality.

Official resources