Llama 3.2 1B Instruct
by Meta · meta-llama/llama-3.2-1b-instruct · #21 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:59 AM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.027
per 1M tokens
Output
$0.201
per 1M tokens
Blended (3:1)
$0.071
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Llama 3.2 1B Instruct (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.071 | $0.002955 | — |
| 50% | $0.071 | $0.002955 | −0% |
| 90% | $0.071 | $0.002955 | −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 | $7.38e-5 | $0.0738 |
| Document summary | 8,000 | 1,000 | $0.000417 | $0.417 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.001212 | $1.21 |
| Long-context analysis | 150,000 | 5,000 | $0.005055 | $5.05 |
Specs
Context window
60K
tokens
Max output
60K
tokens
Input modalities
text
Tokenizer
Llama3