Calculate the cost of using Qwen3-8B from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 40,960 tokens
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Qwen3-8B is a chat model from Hugging Face, one of 182 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.18 per 1M output tokens, ranking 206 out of 2628 chat models by cost and cheaper than 92% of models in this category. Qwen3-8B supports function calling. It accepts up to 41K 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 40,960 input tokens.
At $0.07 per 1M input tokens and $0.18 per 1M output tokens, Qwen3-8B ranks 206 out of 2628 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 92% of models in this category.
Qwen3-8B is one of 182 Hugging Face chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-8B |
|---|---|---|---|---|
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 | -14% |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 | -10% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | +7% |
Similar chat models from other providers
No. Qwen3-8B costs $0.07 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 14% more affordable for input. However, Qwen3-8B may offer different capabilities or performance characteristics that justify the price difference.
Qwen3-8B input pricing is $0.07 per 1M tokens, which is 86% below the median of $0.50 for chat models. It ranks 206 out of 2628 chat models by input cost, making it cheaper than 92% of models in this category. For output, it costs $0.18 per 1M tokens compared to the median of $1.44.
Among Hugging Face's 182 chat models, Qwen3-8B ranks 26 by input cost.
The most comparable chat models to Qwen3-8B are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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.
You can monitor Hugging Face service health in real time on the Bifrost Hugging Face Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Qwen3-8B 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 $0.07 and generating 1M output tokens costs $0.18.