MMeta · Released Sep 25, 2024
Llama 3.2 1B Instruct
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...
- Released
- Sep 25 2024
- Context window
- 60K 54K out
- Input / 1M tokens
- $0.027 from $0.01
- Output / 1M tokens
- $0.20 from $0.01
Where to run it
7 providers compared
Cheapest: Inference at $0.01 / $0.01 per 1M input / output tokens — 92% less than the priciest option.
| Provider | Input | Output | Cache read | Context | Max output | Uptime | vs. best |
|---|---|---|---|---|---|---|---|
| Inference | $0.01 | $0.01 | — | 16K | 4K | — | Cheapest |
| Novita AIno tool calling | $0.02 | $0.02 | — | 131K | 32K | — | +100% |
| Cloudflareno tool calling | $0.027 | $0.20 | — | 60K | 54K | 100%24h | +605% |
| Kilo Gatewayno tool calling | $0.027 | $0.20 | — | 60K | 54K | — | +605% |
| Cloudflare Workers AIno tool calling | $0.027 | $0.20 | — | 60K | 60K | — | +605% |
| Eden AIno tool calling | $0.027 | $0.20 | — | 60K | 32K | — | +605% |
| Pioneer | $0.10 | $0.20 | $0.10 | 131K | 60K | — | +1153% |
Value
Price vs. performance
Llama 3.2 1B Instruct Other Meta Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.
Benchmarks
2 benchmark scores
| Benchmark | Score | Rank | Leader |
|---|---|---|---|
| GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions | 23.9% | #121of 122 | Gemini 4 Argon96.4% |
| OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 | 0.6% | #120of 120 | Gemini 4 Argon100.0% |
Specs
Details
- Model ID
meta-llama/llama-3.2-1b-instruct- Developer
- Meta
- Release date
- Sep 25, 2024 ·
- Context window
- 60,000 tokens
- Max output
- 54,000 tokens
- API price
- $0.027 / $0.20 per 1M input / output tokens
- Providers
- 7
- Input types
- text
- Reasoning
- No
- Tool calling
- No
- Open weights
- Yes
- Free tier
- No
Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.