Solar Pro 2 (Reasoning)

Given the $0.50/1M input token price, every token counts. Craft your prompts to be as concise and effective as possible without sacrificing necessary context.

• Be Specific: Avoid vague instructions that might lead to unnecessary processing.
• Pre-process Data: Summarize or extract key information from large documents before feeding them to the model, if possible.
• Iterative Prompting: For complex tasks, break them down into smaller, chained prompts to manage input size for each call.

Solar Pro 2 (Reasoning) can be verbose, which directly impacts output token costs. Implement strategies to control the length and detail of its responses.

• Specify Output Length: Include explicit instructions like "Summarize in 3 sentences" or "Provide a concise answer."
• Request Bullet Points/Lists: Structured outputs often reduce overall token count compared to free-form paragraphs.
• Post-processing: If the model still generates too much, consider a secondary, cheaper model or custom logic to trim or condense the output.

The 66k token context window is a powerful feature, but using it fully for every request can be expensive. Be mindful of when and how you utilize this capacity.

• Dynamic Context: Only include relevant historical conversation or document sections in the prompt, rather than the entire context window every time.
• Summarize History: For long conversations, periodically summarize past turns and inject the summary rather than the full transcript.
• Batch Processing: For tasks requiring large inputs, consider batching similar requests to maximize the utility of the context window per API call.

Regularly track your input and output token usage to identify patterns and potential areas for optimization. Upstage's analytics tools can be invaluable here.

• Set Alerts: Configure alerts for usage thresholds to prevent unexpected cost spikes.
• Analyze Workloads: Understand which applications or prompts are consuming the most tokens and focus optimization efforts there.
• A/B Test Prompts: Experiment with different prompt structures and instructions to find the most cost-efficient way to achieve desired outputs.

For a multi-model architecture, consider Solar Pro 2 (Reasoning) for tasks where its speed and intelligence are critical, and delegate simpler tasks to more cost-effective models.

• Complex Reasoning: Use Solar Pro 2 for tasks requiring deep analysis, inference, or creative generation.
• Simple Tasks: For basic summarization, rephrasing, or data extraction, explore less expensive models if available.
• Hybrid Approaches: Combine Solar Pro 2's reasoning with other models for specific sub-tasks to optimize overall workflow cost.

Solar Pro 2 (Reasoning) excels in applications requiring a combination of high output speed, above-average intelligence, and the ability to process extensive context. This includes complex document summarization, detailed content generation, advanced chatbot interactions, code analysis, and any task where rapid, well-reasoned textual output is critical.

Solar Pro 2 (Reasoning) is notably fast, achieving a median output speed of 126 tokens per second. This is significantly higher than the average model speed of 93 tokens per second, placing it among the top performers for throughput and responsiveness.

Its pricing is nuanced. The input token price of $0.50 per 1 million tokens is on the higher side compared to the average. However, its output token price of $0.50 per 1 million tokens is moderately priced, below the average. Overall cost-efficiency depends on your specific use case's input-to-output token ratio and how effectively you manage verbosity.

A 66,000-token context window allows the model to process and retain a very large amount of information within a single interaction. This is crucial for tasks like analyzing lengthy legal documents, maintaining long, complex conversations, or understanding large codebases without losing track of previous information, leading to more coherent and contextually relevant responses.

To manage verbosity and associated costs, you can include explicit instructions in your prompts, such as "Summarize concisely," "Provide a brief answer," or "Use bullet points." You can also specify desired output lengths (e.g., "max 100 words"). Post-processing the output to trim unnecessary details is another option.

Solar Pro 2 (Reasoning) is owned and developed by Upstage. It operates under a proprietary license, meaning its usage is governed by Upstage's terms of service and API access agreements.

Absolutely. With its high output speed of 126 tokens/second and a competitive latency of 1.24 seconds for the first token, Solar Pro 2 (Reasoning) is well-suited for real-time applications such as interactive chatbots, live content generation, and dynamic data analysis where quick responses are essential.