meta-llama/llama-3.2-3b-instruct · Meta Llama
Edge and on-device compact model for mobile deployment and embedded agents at $0.03/$0.05 per 1M tokens.
Last checked Aug 28, 2026. Calculations use the listed base rates; provider-specific tiers, cache writes, batch pricing, and long-context rules may differ. Confirm the current rate at the official provider source.
Quick answer
At the published base rate, Llama 3.2 3B Instruct costs $0.03 per 1M input tokens and $0.05 per 1M output tokens. It supports a 128K context window and is currently marked ga.
Method & trust
This rate card uses the provider's listed base input, output, and cached-input prices. Workload tables below apply those rates to explicit token counts, cache assumptions, and request volumes; verify provider-specific tiers before committing budget.
Input
$0.03
per 1M tokens
Output
$0.05
per 1M tokens
Cached input
—
not published
Context window
128K
max output 4.1K
Llama 3.2 3B Instruct cost calculator
What Llama 3.2 3B Instruct costs per task
| Use case | Input tokens | Output tokens | Cost / request | Monthly @ 1K req/day |
|---|---|---|---|---|
| Customer support chatbot | 3,500 | 350 | $0.000123 | $3.675 |
| RAG / search-augmented answers | 8,000 | 500 | $0.000265 | $7.95 |
| AI coding assistant | 12,000 | 2,000 | $0.00046 | $13.80 |
| Document summarization | 25,000 | 600 | $0.00078 | $23.40 |
| Agentic workflow | 40,000 | 1,500 | $0.001275 | $38.25 |
| Content generation | 800 | 1,200 | $0.000084 | $2.52 |
| Data extraction & tagging | 2,000 | 250 | $0.000073 | $2.175 |
| Translation | 5,000 | 5,500 | $0.000425 | $12.75 |
Assumes each use case's typical cacheable share of input. See full cost scenarios.
Compare with alternatives
| Model | Input /M | Output /M | Context | Chat request* |
|---|---|---|---|---|
| Llama 3.2 3B Instruct | $0.03 | $0.05 | 128K | $0.00016 |
| GPT-5.6 Solcompare | $5.00 | $30.00 | 1.1M | $0.035 |
| GPT-5.6 Terracompare | $2.00 | $12.00 | 1.1M | $0.014 |
| GPT-5.6 Lunacompare | $0.20 | $1.20 | 1.1M | $0.0014 |
| GPT-5.6 Cybercompare | $12.50 | $75.00 | 1.1M | $0.0875 |
| GPT-5.5 Standardcompare | $5.00 | $30.00 | 512K | $0.035 |
| GPT-5.5 Procompare | $30.00 | $180.00 | 512K | $0.21 |
| GPT-5.4 Workhorsecompare | $2.50 | $15.00 | 256K | $0.0175 |
| GPT-5.4 minicompare | $0.75 | $4.50 | 256K | $0.00525 |
*4,000 in + 800 out tokens, 50% cached input where available.
Related calculations
FAQ
Llama 3.2 3B Instruct costs $0.03 per 1M input tokens and $0.05 per 1M output tokens. Verified Aug 28, 2026 against https://www.llama.com/.
Llama 3.2 3B Instruct supports a 128,000-token context window with up to 4,096 output tokens per request, tokenized with tiktoken_cl100k.
At $0.03/M input and $0.05/M output, Llama 3.2 3B Instruct sits below GPT-5.6 Sol ($5.00/M in, $30.00/M out) — see the comparison table for full-workload differences.