OpenAI: GPT-5.6 Sol Pro
GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
Anyone in the Project can @-mention OpenAI: GPT-5.6 Sol Pro with the team's shared context - pooled credits, one chat, one memory.
Verdict
Best for
- Analyzing entire codebases in one context
- Multi-document research synthesis tasks
- Long-form report generation with citations
- Contract review across hundreds of pages
- Technical documentation Q&A systems
Strengths
The 1.05M token context window handles nearly any real-world document set without chunking or retrieval tricks. Multimodal support means you can mix PDFs, screenshots, and text in the same analysis pass. At $5/Mtok input, it costs half what you'd pay for comparable context from Anthropic's extended models. File handling is native, so you skip preprocessing steps that plague RAG pipelines.
Trade-offs
Output pricing at $30/Mtok makes this expensive for generative tasks like drafting or code synthesis — you'll burn budget fast on long responses. No public benchmarks means you can't compare reasoning quality against Claude Sonnet 4.5 or Gemini 2.5 Pro on standardized tests. Early-release models sometimes show inconsistent instruction-following until the vendor tunes post-launch. If your task needs proven MMLU or HumanEval scores, wait for independent evals.
Specifications
- Provider
- openai
- Category
- llm
- Context length
- 1,050,000 tokens
- Max output
- 128,000 tokens
- Modalities
- file, image, text
- License
- proprietary
- Released
- 2026-07-09
Pricing
- Input
- $2.00/Mtok
- Output
- $10.00/Mtok
- Model ID
openai/gpt-5.6-sol-pro
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Codebase Architecture Analysis
Analyze this codebase for architectural patterns, identify the core abstractions, map dependencies between modules, and flag any circular dependencies or tight coupling issues. Provide a summary diagram in text form.Open in a Project →
Multi-Document Legal Review
Review these contracts and identify any conflicting terms, missing standard clauses, or unusual liability provisions. Create a table comparing key terms across all documents.Open in a Project →
Research Paper Synthesis
Synthesize the main arguments from these papers, identify areas of consensus and disagreement, and suggest gaps in the current research. Cite specific papers when referencing claims.Open in a Project →
Technical Spec Q&A System
Using the provided technical specifications, answer this question with exact section references and page numbers. If the answer requires combining information from multiple docs, cite each source.Open in a Project →
Screenshot-Based UI Audit
Analyze these UI screenshots for consistency in spacing, typography, color usage, and component patterns. Flag any deviations from the design system and suggest fixes.Open in a Project →
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