Llama 3.2 1B Instruct
The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out).
text → text · made by Meta
Sold by 13 ways
| Seller | Lane | Rate |
|---|---|---|
| AWS Bedrock cloud | standard | $0.1per Mtok in$0.1per Mtok outaws.amazon.com · read 2026-08-24 |
| AWS Bedrock cloud | in-region | $0.1per Mtok in$0.1per Mtok outpricing.us-east-1.amazonaws.com · read 2026-08-24 |
| IBM watsonx cloud | standard | $0.1per Mtok in$0.1per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| IBM watsonx.ai cloud | standard | $0.1per Mtok in$0.1per Mtok outraw.githubusercontent.com · read 2026-08-28 |
| DeepInfra aggregator | standard | $0.005per Mtok in$0.01per Mtok outapi.deepinfra.com · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.01per Mtok in$0.02per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Novita AI aggregator | standard | $0.02per Mtok in$0.02per Mtok outapi.novita.ai · read 2026-08-25 |
| Cloudflare aggregator | standard | $0.027per Mtok in$0.2per Mtok outdevelopers.cloudflare.com · read 2026-08-25 |
| Cloudflare aggregatornot on the seller's list today | sandbox | $0.027per Mtok in$0.2per Mtok outdevelopers.cloudflare.com · read 2026-08-25 |
| Inference.net aggregator | standard | $0.027per Mtok in$0.2per Mtok outapi.inference.net · read 2026-09-16 |
| OpenRouter aggregator | standard | $0.027per Mtok in$0.2per Mtok outopenrouter.ai · read 2026-08-24 |
| SambaNova Cloud aggregator | standard | $0.04per Mtok in$0.08per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| Together AI aggregator | standard | $0.06per Mtok in$0.06per Mtok outraw.githubusercontent.com · read 2026-09-16 |
Measured 5 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 35thof 36 | Balrog — Epoch AI | Average progress | 0.066 |
| 203rdof 222 | Chess puzzles — Epoch AI | mean_score | 0 |
| 285thof 290 | OTIS Mock AIME 2024-2025 | mean_score | 0.556 |
| 306thof 313 | GPQA Diamond | mean_score | 23.927 |
| 635thof 656 | Epoch capabilities index — Epoch AI | ECI Score | 102.43 |
About
Llama 3.2 1B Instruct — a text model from Meta, sold by 11 companies from $0.005 in and $0.01 out per million tokens, placed 203rd of 222 on Chess puzzles — Epoch AI.
It takes text and returns text, with a context window of 131,072 tokens. It was published in August 2024, trained on material up to December 2023. The catalogue files it under reasoning. Eleven companies sell it. The cheapest is $0.005 in and $0.01 out per million tokens at DeepInfra. Beside the standard rate there is a regional lane. It has been measured on 5 boards, and stands best at 203rd of 222 on Chess puzzles — Epoch AI.
Every current figure
- Maker
- Meta
- Register
- model
- Takes
- text
- Returns
- text
- Context
- 131,072 tokens
- Published
- August 2024
- Knowledge to
- December 2023
- Parameters
- 1.2 billion
- Licence
- not read
- Sellers
- 11
- Maker's own price
- not read
- Price
- $0.005 in and $0.01 out per million tokens — DeepInfra
- Boards
- 5
- Best place
- 203rd of 222 — Chess puzzles — Epoch AI
Known as 4 names
Llama 3.2 1Bmeta.llama3-2-1b-instruct-v1:0@cf/meta/llama-3.2-1b-instructmeta-llama/Llama-3.2-1B-Instruct