Llama 3.2 3B Instruct
by Meta · meta-llama/llama-3.2-3b-instruct · #35 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:18 AM UTC · refreshed hourly
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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Pricing
Input
$0.051
per 1M tokens
Output
$0.335
per 1M tokens
Blended (3:1)
$0.122
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Llama 3.2 3B Instruct (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.122 | $0.005527 | — |
| 50% | $0.122 | $0.005527 | −0% |
| 90% | $0.122 | $0.005527 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000126 | $0.126 |
| Document summary | 8,000 | 1,000 | $0.000742 | $0.7422 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.002197 | $2.20 |
| Long-context analysis | 150,000 | 5,000 | $0.00931 | $9.31 |
Specs
Context window
131K
tokens
Max output
80K
tokens
Input modalities
text
Tokenizer
Llama3