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Exa launches Agent Ultra API for exhaustive research tasks

Exa has released Agent Ultra, the highest effort level of its Exa Agent API, designed for research tasks that require exhaustive coverage such as large list building and entity enrichment. The system splits tasks into subtasks and assigns parallel subagents, routing frontier models to complex steps and faster models to simpler ones. Exa reports that Agent Ultra outperforms Opus 5.5, GPT-6 Astra,…

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Key points

  • Exa released Agent Ultra, its highest effort API mode for exhaustive research and list building.
  • Exa reports Agent Ultra beats Opus 5.5, GPT-6 Astra, and Perplexity Agent on four benchmarks.
  • Runs cost up to $20 by default and typically take about 30 minutes to complete.

According to Exa’s launch post, Agent Ultra achieves a 12.6% improvement over Opus 5.5 on the WANDR benchmark at half the cost per task. It also shows a 1579% gain over Opus 5.5 on the Company Find-All benchmark. These figures are vendor-reported and have not yet been independently reproduced. Typical runs take about 30 minutes, though very hard tasks can take up to 3 hours.

Agent Ultra is available as a hosted API and is not open weights. Pricing is metered at standard Agent usage rates, with a default cap of $20 per run, adjustable between $1 and $100. The tool targets model providers, financial services, and go-to-market teams for tasks like training data assembly, due diligence, and account list enrichment.

Model pages: Opus 5.5 → · GPT-6 (Astra) → · GPT-6 Luna →

Full story from MarkTechPost · by Michal SutterOpen source ↗

Exa Launches Agent Ultra: A Subagent Swarm Deep Research API Built for Exhaustive List Building

MarkTechPost · 26 September 2026

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This text was published by MarkTechPost and written by Michal Sutter. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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