Calculate the cost of using Qwen2.5-Coder-7B-Instruct from Hugging Face for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
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Qwen2.5-Coder-7B-Instruct is a chat model from Hugging Face, one of 187 chat models they offer. It is priced at $0.01 per 1M input tokens and $0.03 per 1M output tokens, ranking 6 out of 2661 chat models by cost and cheaper than 100% of models in this category. Qwen2.5-Coder-7B-Instruct supports structured output. 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.
At $0.01 per 1M input tokens and $0.03 per 1M output tokens, Qwen2.5-Coder-7B-Instruct ranks 6 out of 2661 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.
Qwen2.5-Coder-7B-Instruct is one of 187 Hugging Face chat models, with support for structured output.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen2.5-Coder-7B-Instruct |
|---|---|---|---|---|
| ling-2.6-flash | OpenRouter | $0.01 | $0.03 | 0% |
| Qwen2.5-Coder-3B-Instruct | Nscale | $0.01 | $0.03 | 0% |
| Qwen2.5-Coder-7B-Instruct | Nscale | $0.01 | $0.03 | 0% |
Similar chat models from other providers
No. Qwen2.5-Coder-7B-Instruct 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, Qwen2.5-Coder-7B-Instruct may offer different capabilities or performance characteristics that justify the price difference.
Qwen2.5-Coder-7B-Instruct input pricing is $0.01 per 1M tokens, which is 98% below the median of $0.50 for chat models. It ranks 6 out of 2661 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 187 chat models, Qwen2.5-Coder-7B-Instruct ranks 2 by input cost.
The most comparable chat models to Qwen2.5-Coder-7B-Instruct are: ling-2.6-flash from OpenRouter ($0.01/1M input tokens); Qwen2.5-Coder-3B-Instruct from Nscale ($0.01/1M input tokens); Qwen2.5-Coder-7B-Instruct from Nscale ($0.01/1M input tokens); Qwen2.5-Coder-7B from Nebius ($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.
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.
Qwen2.5-Coder-7B-Instruct 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.