Calculate the cost of using qwen3-1p7b from Fireworks AI for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 131,072 tokens
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qwen3-1p7b is a chat model from Fireworks AI, one of 272 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.10 per 1M output tokens, ranking 317 out of 2292 chat models by cost and cheaper than 85% of models in this category. 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. The maximum output length is 131,072 tokens.
At $0.10 per 1M input tokens and $0.10 per 1M output tokens, qwen3-1p7b ranks 317 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 85% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-1p7b |
|---|---|---|---|---|
| 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. qwen3-1p7b 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, qwen3-1p7b may offer different capabilities or performance characteristics that justify the price difference.
qwen3-1p7b input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 317 out of 2292 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.10 per 1M tokens compared to the median of $1.50.
Among Fireworks AI's 272 chat models, qwen3-1p7b ranks 36 by input cost.
The most comparable chat models to qwen3-1p7b 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.
You can monitor Fireworks AI service health in real time on the Bifrost Fireworks AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3-1p7b 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 $0.10.
