Calculate the cost of using ui-tars-1.5-7b from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 128,000 tokens
Max: 2,048 tokens
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ui-tars-1.5-7b is a chat model from OpenRouter, one of 445 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.20 per 1M output tokens, ranking 379 out of 3272 chat models by cost and cheaper than 85% of models in this category. ui-tars-1.5-7b supports vision, prompt caching, structured output — one of only 4 chat models with this combination. It accepts up to 128K 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 128,000 input tokens. The maximum output length is 2,048 tokens.
At $0.10 per 1M input tokens and $0.20 per 1M output tokens, ui-tars-1.5-7b ranks 379 out of 3272 chat models by input cost. It is more affordable compared to the median of $0.53 for chat models, and is cheaper than 85% of models in this category.
ui-tars-1.5-7b is one of 445 OpenRouter chat models, one of only 4 chat models combining prompt caching, structured output, vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs ui-tars-1.5-7b |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| gemini-2.0-flash | Vertex AI | $0.10 | $0.40 | 0% |
Similar chat models from other providers
No. ui-tars-1.5-7b 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, ui-tars-1.5-7b may offer different capabilities or performance characteristics that justify the price difference.
ui-tars-1.5-7b input pricing is $0.10 per 1M tokens, which is 81% below the median of $0.53 for chat models. It ranks 379 out of 3272 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 445 chat models, ui-tars-1.5-7b ranks 57 by input cost. Its combination of prompt caching, structured output, vision is shared by only 3 other chat models.
The most comparable chat models to ui-tars-1.5-7b 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); gemini-2.0-flash from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Vertex AI ($0.10/1M 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 OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
ui-tars-1.5-7b 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 $0.20.