Calculate the cost of using llama-3.2-3b-instruct-fast from Zerogpu for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 8,192 tokens
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llama-3.2-3b-instruct-fast is a chat model from Zerogpu, one of 13 chat models they offer. It is priced at $0.05 per 1M input tokens and $0.30 per 1M output tokens, ranking 171 out of 4040 chat models by cost and cheaper than 95% of models in this category. It accepts up to 131K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 8,192 tokens.
At $0.05 per 1M input tokens and $0.30 per 1M output tokens, llama-3.2-3b-instruct-fast ranks 171 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 95% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs llama-3.2-3b-instruct-fast |
|---|---|---|---|---|
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 | +20% |
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | +10% |
| gpt-5-nano | Azure | $0.05 | $0.40 | 0% |
Similar chat models from other providers
Yes. llama-3.2-3b-instruct-fast costs $0.05 per 1M input tokens compared to amazon.nova-lite-v1:0's $0.06 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
llama-3.2-3b-instruct-fast input pricing is $0.05 per 1M tokens, which is 92% below the median of $0.60 for chat models. It ranks 171 out of 4040 chat models by input cost, making it cheaper than 95% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.80.
Among Zerogpu's 13 chat models, llama-3.2-3b-instruct-fast ranks 3 by input cost.
The most comparable chat models to llama-3.2-3b-instruct-fast are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); FW-Nemotron-Lightning-3.5-30B-A3B from Azure ($0.06/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
llama-3.2-3b-instruct-fast is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.05 and generating 1M output tokens costs $0.30.