Meta: Llama 3.2 1B Instruct
Analysis Summary
Llama 3.2 1B Instruct is Meta's entry-level open-weight model, designed for edge and on-device deployment. With an intelligence index of 6.3 and a coding index of just 0.6, it sits at the very bottom of the capability spectrum. Instruction following and long-context reasoning scores are also very low.
For businesses, this model is not appropriate for any task requiring reliable reasoning, content generation, or structured output. Its value lies in scenarios where model size and inference cost are the binding constraints, such as on-device classification or keyword extraction.
At $0.027 input and $0.20 output per million tokens, it is among the cheapest options available. Adopt it only where a larger model is impractical, and validate output quality carefully for any production use.
Assessed June 6, 2026
Editorial notes
Llama 3.2 1B Instruct is Meta's smallest model, with an intelligence index of 6.3 and near-zero coding capability, suited only to the most basic text tasks at minimal cost.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Meta: Llama 3.2 1B Instruct compares
Meta: Llama 3.2 1B Instruct ranks #369 of 377 AI models we track for overall intelligence, #309 of 314 for coding. Its 131K-token context window is larger than 59% of the models we list. At $0.03 per million input tokens it is cheaper than 76% of comparable models.
About Meta: 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..
Architecture Detail
| Instruct Type | llama3 |
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3.2 1B Instruct stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.2-1b-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | September 25, 2024 |
| Context Length | 131,072 tokens |
| Max Completion | 60,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000027 |
| Output | $0.20 | $0.000201 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Frequently asked questions about Meta: Llama 3.2 1B Instruct
How much does Meta: Llama 3.2 1B Instruct cost?
Meta: Llama 3.2 1B Instruct costs $0.03 per million input tokens and $0.20 per million output tokens.
What is the context window of Meta: Llama 3.2 1B Instruct?
Meta: Llama 3.2 1B Instruct has a context window of 131,072 tokens (131K).
Is Meta: Llama 3.2 1B Instruct good for coding?
On our coding benchmark index, Meta: Llama 3.2 1B Instruct ranks #309 of 314 models, placing it in the broader range of the field for code generation and debugging.
Who created Meta: Llama 3.2 1B Instruct?
Meta: Llama 3.2 1B Instruct is developed by Meta and was released on September 25, 2024.
