Calculate the cost of using solar-pro4 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 524,288 tokens
Max: 131,072 tokens
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solar-pro4 is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens, ranking 801 out of 3778 chat models by cost and cheaper than 78% of models in this category. solar-pro4 supports function calling, reasoning, prompt caching, structured output. Its 524K-token context window is in the top 30% among chat models.
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 524,288 input tokens. The maximum output length is 131,072 tokens.
At $0.15 per 1M input tokens and $0.60 per 1M output tokens, solar-pro4 ranks 801 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 78% of models in this category.
solar-pro4 is one of 502 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 524K-token context window places it in the top 30% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs solar-pro4 |
|---|---|---|---|---|
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
Similar chat models from other providers
No. solar-pro4 costs $0.15 per 1M input tokens while qwen3.8-flash costs $0.15 per 1M input tokens, making qwen3.8-flash 0% more affordable for input. However, solar-pro4 may offer different capabilities or performance characteristics that justify the price difference.
solar-pro4 input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 801 out of 3778 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 502 chat models, solar-pro4 ranks 114 by input cost.
The most comparable chat models to solar-pro4 are: qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($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.
solar-pro4 supports up to 524,288 input tokens, placing it in the top 30% of chat models by context window size (rank 1033 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
solar-pro4 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 $0.15 and generating 1M output tokens costs $0.60.