Calculate the cost of using Qwen3.8-Flash-Next-FP8 from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Qwen3.8-Flash-Next-FP8 is a chat model from Hugging Face, one of 172 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.47 per 1M output tokens, ranking 881 out of 4040 chat models by cost and cheaper than 78% of models in this category. Qwen3.8-Flash-Next-FP8 supports vision, function calling, structured output. Its 1,049K-token context window is in the top 15% among chat models.
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 1,048,576 input tokens.
At $0.15 per 1M input tokens and $0.47 per 1M output tokens, Qwen3.8-Flash-Next-FP8 ranks 881 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 78% of models in this category.
Qwen3.8-Flash-Next-FP8 is one of 172 Hugging Face chat models, with support for vision, function calling, structured output. its 1,049K-token context window places it in the top 15% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3.8-Flash-Next-FP8 |
|---|---|---|---|---|
| gpt-4o-mini | Azure | $0.17 | $0.66 | +10% |
| gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | +10% |
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
Similar chat models from other providers
Yes. Qwen3.8-Flash-Next-FP8 costs $0.15 per 1M input tokens compared to gpt-4o-mini's $0.17 per 1M input tokens, making it 10% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
Qwen3.8-Flash-Next-FP8 input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 881 out of 4040 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.47 per 1M tokens compared to the median of $1.80.
Among Hugging Face's 172 chat models, Qwen3.8-Flash-Next-FP8 ranks 66 by input cost.
The most comparable chat models to Qwen3.8-Flash-Next-FP8 are: gpt-4o-mini from Azure ($0.17/1M input tokens); gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M 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.
Qwen3.8-Flash-Next-FP8 supports up to 1,048,576 input tokens, placing it in the top 15% of chat models by context window size (rank 517 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
Qwen3.8-Flash-Next-FP8 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 $0.15 and generating 1M output tokens costs $0.47.