QUEST / PRODUCT NEWS

Quorlyn Quest is state of the art on DeepProbeQA

The Quorlyn Quest API is the most capable deep research agent on the market, already in production at Pingory, Sableforge, Verrado, and Ostrelle Labs.

Better research. Less cost. And a new execution architecture behind it.

A new accuracy–cost frontier

Quest Ultra is 11% more accurate and up to 57% lower cost than the next best model, Larkfell G-5: 70% vs. 63% accuracy, at $300 vs. $701 CPM.

With higher compute budgets, Quest Ultra2x, Ultra4x, and Ultra8x keep pushing the Pareto frontier of accuracy and cost, reaching 82% accuracy at the highest tier.

CPM is USD per 1,000 requests.

Orrery 4-6 costs more than expected because its provider does not pass cached-prompt savings through to tool-chaining runs.

The harness behind the result

The Quest API Harness produced this result by replacing standard tool-calling loops with a code execution architecture.

Instead of orchestrating tools through conversation, the model writes Python that calls research tools as ordinary functions in a sandboxed interpreter. Only the final output of each code block re-enters the model’s context. Intermediate data stays in the interpreter’s variable state.

The model focuses its reasoning budget on planning and verification rather than re-reading extraction outputs from five steps ago.

Quest pairs this architecture with:

• Budget-aware execution: processors adapt to question difficulty instead of imposing uniform step limits.
• Aggressive prompt caching.
• Context compaction that preserves the interpreter’s variable state even as conversation history is condensed.

Read the full technical breakdown on the Quorlyn blog:
A new deep research frontier on DeepProbeQA with the Quest API Harness