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 504 chat models they offer. It is priced at $0.09 per 1M input tokens and $0.36 per 1M output tokens, ranking 386 out of 3781 chat models by cost and cheaper than 90% 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 $0.09 per 1M input tokens and $0.36 per 1M output tokens, solar-pro4 ranks 386 out of 3781 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 90% of models in this category.
solar-pro4 is one of 504 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 |
|---|---|---|---|---|
| gpt-6-luna | Azure | $0.10 | $0.50 | +11% |
| gpt-6-luna-2026-09-22 | Azure | $0.10 | $0.50 | +11% |
| GLM-5.3-Flash | Sail | $0.11 | $0.35 | +22% |
Similar chat models from other providers
Yes. solar-pro4 costs $0.09 per 1M input tokens compared to gpt-6-luna's $0.10 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
solar-pro4 input pricing is $0.09 per 1M tokens, which is 85% below the median of $0.60 for chat models. It ranks 386 out of 3781 chat models by input cost, making it cheaper than 90% of models in this category. For output, it costs $0.36 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 504 chat models, solar-pro4 ranks 69 by input cost.
The most comparable chat models to solar-pro4 are: gpt-6-luna from Azure ($0.10/1M input tokens); gpt-6-luna-2026-09-22 from Azure ($0.10/1M input tokens); GLM-5.3-Flash from Sail ($0.11/1M input tokens); DeepSeek-V4-Flash-0731 from Sail ($0.09/1M 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 1034 of 3502). 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 $0.09 and generating 1M output tokens costs $0.36.