Calculate the cost of using Qwen3-32B from DeepInfra for your AI applications
Pricing data last updated:
Mode: Chat
Max: 40,960 tokens
Max: 40,960 tokens
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Qwen3-32B is a chat model from DeepInfra, one of 67 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.28 per 1M output tokens, ranking 237 out of 2161 chat models by cost and cheaper than 84% of models in this category. Qwen3-32B 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. The maximum output length is 40,960 tokens.
At $0.10 per 1M input tokens and $0.28 per 1M output tokens, Qwen3-32B ranks 237 out of 2161 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 84% of models in this category.
Qwen3-32B is one of 67 DeepInfra chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-32B |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| Phi-4 | Azure | $0.13 | $0.50 | +25% |
Similar chat models from other providers
No. Qwen3-32B costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, Qwen3-32B may offer different capabilities or performance characteristics that justify the price difference.
Qwen3-32B input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 237 out of 2161 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.44.
Among DeepInfra's 67 chat models, Qwen3-32B ranks 24 by input cost.
The most comparable chat models to Qwen3-32B are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4 from Azure ($0.13/1M 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.
Qwen3-32B 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 $0.10 and generating 1M output tokens costs $0.28.
