Llama 3.2 1B Instruct
llama-3.2-1b-instructLlama 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... Built by Meta.
Prices updated
Input price
$0.03
per 1M tokens · Standard
Output price
$0.20
per 1M tokens · Standard
Input limit
60K
tokens
Output limit
54K
tokens
Input formats
Output formats
Llama 3.2 1B Instruct price history
2 price records since 9/25/2026
Llama 3.2 1B Instruct cost calculator
$1.55/month
Standard pricing
Overview
What is Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct is a text & reasoning model from Meta. 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... Its 60K context window and $0.03 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Llama 3.2 1B Instruct benchmarks & speed
How Llama 3.2 1B Instruct scores on standardized evaluations, and where it lands among every model we track.
4.8
Intelligence Index
Reasoning
GPQA Diamond
19.6%
Graduate-level scientific reasoning · top 100%
HLE
5.5%
Humanity's Last Exam · top 76%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Llama 3.2 1B Instruct pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.03
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Llama 3.2 1B Instruct Tools
Tools available when using Llama 3.2 1B Instruct through supported provider APIs.
Function calling
Not supported
Structured outputs
Not supported
JSON mode
Not supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.03 per million tokens suits high-volume workloads.
- A 60K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 7× more than input tokens, which matters for verbose responses.
- The 60K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider