Calculate the cost of using Qwen3-14B from DeepInfra for your AI applications
Pricing data last updated:
Mode: Chat
Max: 40,960 tokens
Max: 40,960 tokens
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Qwen3-14B is a chat model from DeepInfra, one of 67 chat models they offer. It is priced at $0.12 per 1M input tokens and $0.24 per 1M output tokens, ranking 381 out of 2292 chat models by cost and cheaper than 83% of models in this category. Qwen3-14B 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 $0.12 per 1M input tokens and $0.24 per 1M output tokens, Qwen3-14B ranks 381 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 83% of models in this category.
Qwen3-14B is one of 67 DeepInfra chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-14B |
|---|---|---|---|---|
| Mistral-7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +25% |
| Mixtral-8x7B-Instruct-v0.1 | Anyscale | $0.15 | $0.15 | +25% |
| gpt-oss-120b | Azure | $0.15 | $0.60 | +25% |
Similar chat models from other providers
Yes. Qwen3-14B costs $0.12 per 1M input tokens compared to Mistral-7B-Instruct-v0.1's $0.15 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for function calling.
Qwen3-14B input pricing is $0.12 per 1M tokens, which is 78% below the median of $0.55 for chat models. It ranks 381 out of 2292 chat models by input cost, making it cheaper than 83% of models in this category. For output, it costs $0.24 per 1M tokens compared to the median of $1.50.
Among DeepInfra's 67 chat models, Qwen3-14B ranks 29 by input cost.
The most comparable chat models to Qwen3-14B are: Mistral-7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); Mixtral-8x7B-Instruct-v0.1 from Anyscale ($0.15/1M input tokens); gpt-oss-120b from Azure ($0.15/1M input tokens); gpt-4o-mini from Azure ($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.
Qwen3-14B 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 $0.12 and generating 1M output tokens costs $0.24.
