Calculate the cost of using Qwen3-4B-Thinking-2507 from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
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Qwen3-4B-Thinking-2507 is a chat model from Hugging Face, one of 182 chat models they offer. It is priced at $0.01 per 1M input tokens and $0.03 per 1M output tokens, ranking 8 out of 2628 chat models by cost and cheaper than 100% of models in this category. Qwen3-4B-Thinking-2507 supports function calling, structured output. Its 262K-token context window is in the top 29% 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 262,144 input tokens.
At $0.01 per 1M input tokens and $0.03 per 1M output tokens, Qwen3-4B-Thinking-2507 ranks 8 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 100% of models in this category.
Qwen3-4B-Thinking-2507 is one of 182 Hugging Face chat models, with support for function calling, structured output. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-4B-Thinking-2507 |
|---|---|---|---|---|
| ling-2.6-flash | OpenRouter | $0.01 | $0.03 | 0% |
| Qwen2.5-Coder-7B | Nebius | $0.01 | $0.03 | 0% |
| mistral-nemo | OpenRouter | $0.02 | $0.03 | +90% |
Similar chat models from other providers
No. Qwen3-4B-Thinking-2507 costs $0.01 per 1M input tokens while ling-2.6-flash costs $0.01 per 1M input tokens, making ling-2.6-flash 0% more affordable for input. However, Qwen3-4B-Thinking-2507 may offer different capabilities or performance characteristics that justify the price difference.
Qwen3-4B-Thinking-2507 input pricing is $0.01 per 1M tokens, which is 98% below the median of $0.50 for chat models. It ranks 8 out of 2628 chat models by input cost, making it cheaper than 100% of models in this category. For output, it costs $0.03 per 1M tokens compared to the median of $1.44.
Among Hugging Face's 182 chat models, Qwen3-4B-Thinking-2507 ranks 4 by input cost.
The most comparable chat models to Qwen3-4B-Thinking-2507 are: ling-2.6-flash from OpenRouter ($0.01/1M input tokens); Qwen2.5-Coder-7B from Nebius ($0.01/1M input tokens); mistral-nemo from OpenRouter ($0.02/1M input tokens); Qwen2.5-Coder-3B-Instruct from Nscale ($0.01/1M 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-Thinking-2507 supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 699 of 2462). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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Qwen3-4B-Thinking-2507 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 $0.01 and generating 1M output tokens costs $0.03.