claude-fable-5 vs gpt-5.6-sol
gpt-5.6-sol is about 50% cheaper per 1M input tokens on CaMeL Hub.
| claude-fable-5 | gpt-5.6-sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| per 1M input tokens | $10.00 | $5.00 |
| per 1M output tokens | $50.00 | $30.00 |
| Context window | 1000000 tokens | 1050000 tokens |
| Capabilities | streaming, vision, function-calling, reasoning |
When to use which
claude-fable-5
claude-fable-5 is Anthropic's most capable widely released model, built for long-running agent work. On CaMeL Hub you call it with any OpenAI SDK by setting base_url to https://api.camel-hub.com/v1 β $10 per 1M input tokens, $50 per 1M output tokens. It ships with a 1M-token context window, up to 128K output tokens, and adaptive reasoning that is always on, so the model decides how deeply to think on each request without you managing a thinking budget.
- Long-running autonomous coding agents that plan, edit, and verify changes across a large repository over many hours
- Whole-corpus analysis β contracts, filings, or research collections loaded into the 1M-token context in a single request
- Multi-step tool orchestration where the agent must diagnose failed calls, re-plan, and keep state consistent
- High-stakes reasoning tasks such as architecture reviews, incident postmortems, and math-heavy analysis
gpt-5.6-sol
gpt-5.6-sol is OpenAI's long-context reasoning model, priced at $5.00 per 1M input and $30.00 per 1M output tokens on CaMeL Hub. Call it with any OpenAI-compatible SDK by pointing base_url to https://api.camel-hub.com/v1 β no other code changes. Prompts above 272K tokens bill at a higher long-context tier ($10.00 in / $45.00 out).
- Whole-repository code review: load hundreds of source files into one prompt and get cross-file refactoring analysis without chunking pipelines
- Contract and regulatory document analysis where a single filing, lease portfolio, or compliance bundle runs to thousands of pages
- Long-horizon agent workflows that accumulate large tool-call traces and conversation history and still need coherent multi-step reasoning at the end
- Research synthesis across dozens of papers or reports in a single call, with citations traced back to specific passages