by Meta AI
Meta Llama 3.2 1B Instruct.
text
open weights
edge
1B params
131K ctx
Cheapest input
$0.027/M
on OpenRouter
Cheapest output
$0.06/M
on Together AI
Smallest GPU
1× Nvidia Titan V
Smallest GPU to run it
See all quantisations →
1× Nvidia Titan V.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Where to use it
Cheapest hosted endpoints.
FAQ
Frequently asked.
How do I run Meta Llama 3.2 1B Instruct?
Meta Llama 3.2 1B Instruct is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Meta Llama 3.2 1B Instruct?
Meta Llama 3.2 1B Instruct is available via Together AI, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Meta Llama 3.2 1B Instruct?
API pricing starts at $0.06/M input tokens and $0.06/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Meta Llama 3.2 1B Instruct open-source or proprietary?
Meta Llama 3.2 1B Instruct is open-weight under the license. You can download and self-host it.
Run it yourself
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
3 GB | — | — | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
3 GB | — | — | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
3 GB | — | — | Compare → |
Just need an API?
Skip the GPU rental and call a hosted endpoint instead.
See access providers on the Overview tab →
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Meta Llama 3.2 1B Instruct across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$0.67
OpenRouter
Most expensive
$0.72
Together AI
Spread
$0.05
max − min
Providers
2
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
131K tokens
≈ 98,304 English words
4K
32K
128K
1M
Capabilities
What it can do.
·
Vision input
·
Audio input
·
Video input
·
Function calling
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Tool use
·
JSON mode
✓
Streaming
·
Fine-tuning