Llama 3.2 1B Instruct pricing.
Prices checked
Llama 3.2 1B Instruct costs $0.03 in and $0.20 out per million tokens from OpenRouter; the cheapest price is $0.01 at Inference, checked .
OpenRouter's own price
OpenRouter
$0.03 in · $0.20 out
92% below the typical price of the 392 text models we track.
Cheapest price
Inference
$0.01 in · $0.01 out
86% less than OpenRouter, and the provider says why.
Every provider selling Llama 3.2 1B Instruct
- 1

Inference
Runs it themselves$0.01 in · $0.01 out · 16k context here
$0.01/M tokens - 2
$0.02 in · $0.02 out · 131k context here
$0.02/M tokens - 3
$0.06 in · $0.06 out · 131k context here
$0.06/M tokens - 4
$0.03 in · $0.20 out
$0.07/M tokens - 5
$0.03 in · $0.20 out
$0.07/M tokens - 6
$0.03 in · $0.20 out
$0.07/M tokens - 7
$0.03 in · $0.20 out
$0.07/M tokens - 8
$0.03 in · $0.20 out
$0.07/M tokens - 9
$0.03 in · $0.21 out
$0.07/M tokens
Not ranked
Below the maker's own price with nothing published to account for it, from a catalog we could not read reliably, or a free tier, which is a limit rather than a price. Why
$0.03 in · $0.20 out · 33k context here
$0.07/M tokens$0.11 in · $0.80 out · 33k context here
$0.28/M tokens
What it costs for your work
A month at OpenRouter's own price
A month at Inference, the cheapest
What you save
A page is about 600 tokens in and 60 out, a support reply 200 in and 300 out, an email 150 in and 250 out. Nothing else is counted: no cache discount, no batch rate, no free tier.
Run it yourself
On a server by the month
Meta publishes the weights, so you can run Llama 3.2 1B Instruct on a server you rent by the month. It needs about 2.6 GB of RAM on a CPU, and the cheapest plan we track with that much and a disk included is OVHcloud VPS-1 2027 at $5.02 a month, streaming about 6.4–13 tok/s. Every plan that fits
On a GPU by the hour
The RTX A5000 holds Llama 3.2 1B Instruct in 24 GB of memory against the 2.6 GB the weights, the context and the runtime need. The cheapest one we track is RunPod's RTX A5000 · Community Cloud at $0.16/GPU-hr, which is $116.80 for the 730 hours in a month, checked 31 Oct. Every GPU price
How we count
Prices are per million tokens. The big number on each row is blended 3 in : 1 out, the way most work uses a model. A price below OpenRouter's own is listed as cheapest only when the provider says why. Meta trained Llama 3.2 1B Instruct and sells it on no catalog we read, so the price every row is measured against is OpenRouter's.
- Runs it themselves
- The provider runs the open weights on hardware of its own, so the price is its own rather than a resale.
- Costs more
- Sold by someone else for more than the maker charges.
- Same as maker
- Sold by someone else at the price the maker charges.
- Not ranked
- Below the maker's price on a closed model with nothing to account for it, or from a catalog we could not read reliably. Listed, and never a pick.
Similar models
Models from other labs that do what Llama 3.2 1B Instruct does, cheapest first. Each percentage is against Llama 3.2 1B Instruct's cheapest price, $0.01 per M tokens.
Frequently asked
- Who sells Llama 3.2 1B Instruct cheapest?
- Inference, at $0.01 in and $0.01 out per million tokens, checked 31 Oct 2026. The provider runs the open weights on hardware of its own, so the price is its own rather than a resale.
- Is Llama 3.2 1B Instruct open weights?
- Yes. Meta publishes the weights, so anyone may host Llama 3.2 1B Instruct, which is why 10 providers sell it and why their prices differ so much.
- How much context does Llama 3.2 1B Instruct hold?
- 60,000 tokens in one call, which is about 60k.
- How does Llama 3.2 1B Instruct compare with the rest of the market?
- At $0.07 per million tokens, OpenRouter's own price is 92% below the typical $0.88 across the 392 text models we track.