Meta: Llama 3.2 1B Instruct
Analysis Summary
Meta's Llama 3.2 1B Instruct sits at the bottom of the Llama 3.2 family in terms of capability, with an intelligence index of 1.1 and a coding index of 0.6. MMLU-Pro at 0.20 and livecodebench at 0.019 confirm it struggles with anything beyond basic text generation.
For businesses, practical use cases are narrow: simple keyword extraction, basic text formatting, or on-device inference where model size is the primary constraint. It is not suitable for instruction-following workflows, coding, or any task requiring reliable reasoning.
At $0.027 input and $0.201 output per million tokens, it is among the cheapest available. The value case exists only for edge deployment or cost-constrained experimentation. Most business workloads will outgrow it immediately.
Assessed June 17, 2026
Editorial notes
Llama 3.2 1B Instruct is Meta's smallest production model, with very limited reasoning and coding capability; useful only for the simplest 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 #373 of 380 AI models we track for overall intelligence. 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 77% 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 emerging 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
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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).
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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 19, 2026 8:38 pm