Calculate the cost of using Qwen3-14B from Nebius for your AI applications
Pricing data last updated:
Mode: Chat
Max: 32,768 tokens
Max: 32,768 tokens
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Qwen3-14B is a chat model from Nebius, one of 27 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.24 per 1M output tokens, ranking 195 out of 2292 chat models by cost and cheaper than 91% of models in this category. Qwen3-14B supports function calling. It accepts up to 33K 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 32,768 input tokens. The maximum output length is 32,768 tokens.
At $0.08 per 1M input tokens and $0.24 per 1M output tokens, Qwen3-14B ranks 195 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 91% of models in this category.
Qwen3-14B is one of 27 Nebius chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3-14B |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | +25% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | +25% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | -6% |
Similar chat models from other providers
Yes. Qwen3-14B costs $0.08 per 1M input tokens compared to gpt-4.1-nano's $0.10 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
Qwen3-14B input pricing is $0.08 per 1M tokens, which is 85% below the median of $0.55 for chat models. It ranks 195 out of 2292 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.24 per 1M tokens compared to the median of $1.50.
Among Nebius's 27 chat models, Qwen3-14B ranks 6 by input cost.
The most comparable chat models to Qwen3-14B 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-mini-instruct from Azure ($0.07/1M 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.
Qwen3-14B 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 $0.08 and generating 1M output tokens costs $0.24.
