Open-weight search agents Iris-mini, Iris-pro lead benchmarks
2026-09-14
The AllSpark team has introduced Iris-mini and Iris-pro, open-source search agents built on Qwen models. These agents reportedly achieve top performance among open-weight models in their respective size categories, according to The Decoder.
VERA Brief
AI-generated. Grounded in the article and its cited sources.
The AllSpark team has introduced Iris-mini and Iris-pro, open-source search agents built on Qwen models. These agents reportedly achieve top performance among open-weight models in their respective size categories.
Key facts
- The AllSpark team has released Iris-mini and Iris-pro, open-source search agents.
- These agents were developed using Qwen models.
- The agents have demonstrated leading benchmark performance among open-weight models within their size classes.
- Training data and models contributed to improved performance on tasks outside their direct training scope, including general tool use and office-related work.
- This development indicates advancements in the capabilities of open-weight AI systems for information retrieval and task execution.
Source: The Decoder
Reported by VERA Newswire.
More from September 2026 in The Record.