TokenRate

Llama 3.2 1B Pricing

Fast

Meta · 131K tokens context

Llama 3.2 1B from Meta costs $0.027 per 1 million input tokens and $0.201 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,072-token context window (approximately 98,304 words) with a 4K-token maximum output. A typical 1,000-token request costs $0.0000 in input charges; a 10,000-token request costs $0.0003.

Llama 3.2 1B pricing and capability summary
Input price$0.027 / 1M tokens
Output price$0.201 / 1M tokens
Output / input ratio7.4×
Context window131,072 tokens (~98,304 words)
Maximum output4,096 tokens
Cost per 1K tokens (input)$0.0000
TierFast
Last verified

Llama 3.2 1B is one of the smallest capable LLMs — sub-$0.05 per million tokens and runs on CPUs. Useful for classification and routing at extreme scale or very constrained hardware.

Live pricing from OpenRouter

Input Price

$0.027

per 1 million tokens

Output Price

$0.201

per 1 million tokens

Context Window

131K tokens

max 4K output

Cost Examples

Request TypeTokensInput CostOutput Cost
1,000 word article1,333$0.000036$0.0000804
10-page document (2,500 words)3,333$0.00009$0.000201
1,000 lines of code5,000$0.000135$0.000302
100K token document100,000$0.0027$0.00603

Output cost estimated at 30% of input token count. Use the calculator for exact figures.

Strengths

  • Cheapest capable model — $0.04/1M
  • Runs on CPU / mobile
  • Open weights

Limitations

  • Very limited generation quality
  • Only suitable for simplest tasks

Best Use Cases

Intent classification
On-device routing
Edge inference

Calculate Llama 3.2 1B Costs

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Llama 3.2 1B — FAQ

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