Calculate the cost of using qwen3-4b-fp8 from Novita for your AI applications
Pricing data last updated:
Mode: Chat
Max: 128,000 tokens
Max: 20,000 tokens
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qwen3-4b-fp8 is a chat model from Novita, one of 80 chat models they offer. It is priced at $0.03 per 1M input tokens and $0.03 per 1M output tokens, ranking 46 out of 2172 chat models by cost and cheaper than 98% of models in this category. qwen3-4b-fp8 supports reasoning. It accepts up to 128K 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 128,000 input tokens. The maximum output length is 20,000 tokens.
At $0.03 per 1M input tokens and $0.03 per 1M output tokens, qwen3-4b-fp8 ranks 46 out of 2172 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 98% of models in this category.
qwen3-4b-fp8 is one of 80 Novita chat models, with support for reasoning.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-4b-fp8 |
|---|---|---|---|---|
| amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.14 | +17% |
| apac.amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.15 | +23% |
| Meta-Llama-3-8B-Instruct | DeepInfra | $0.03 | $0.06 | 0% |
Similar chat models from other providers
Yes. qwen3-4b-fp8 costs $0.03 per 1M input tokens compared to amazon.nova-micro-v1:0's $0.04 per 1M input tokens, making it 17% more affordable. Both are chat models and share support for function calling, prompt caching, structured output.
qwen3-4b-fp8 input pricing is $0.03 per 1M tokens, which is 95% below the median of $0.55 for chat models. It ranks 46 out of 2172 chat models by input cost, making it cheaper than 98% of models in this category. For output, it costs $0.03 per 1M tokens compared to the median of $1.48.
Among Novita's 80 chat models, qwen3-4b-fp8 ranks 4 by input cost.
The most comparable chat models to qwen3-4b-fp8 are: amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); Meta-Llama-3-8B-Instruct from DeepInfra ($0.03/1M input tokens); Meta-Llama-3.1-8B-Instruct from DeepInfra ($0.03/1M 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.
qwen3-4b-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 $0.03 and generating 1M output tokens costs $0.03.
