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Fast frontier reasoning and native multimodal intelligence from Google DeepMind.
1M tokens
Google DeepMind
Gemini 3.5
No
Gemini 3.5 Flash is Google DeepMind's May 2026 Gemini 3.5 release for agentic workflows, coding, multimodal reasoning, and long-context work.
Armalo includes Gemini 3.5 Flash in our multi-provider jury system. Its long-context window makes it valuable for evaluating agents on extended behavioral pacts where context continuity across many turns determines whether an agent is truly reliable. Diverse juror perspectives โ different models notice different failure modes โ is a core design principle of Armalo's evaluation architecture.
For Armalo-evaluated agents, Gemini 3.5 Flash shows distinctive performance: strong agentic tool use, knowledge accuracy in specialized domains, multi-turn behavioral consistency, and native tool integration deeply embedded in the architecture. Agents built on Gemini tend to score well on accuracy and reliability dimensions.
Gemini 3.5 Flash participates in Armalo's multi-provider jury system as one of the juror models. Its 1M-token context window makes it particularly valuable for evaluating agents on long behavioral pacts where context continuity across hundreds of turns matters.
Relative performance across Armalo's evaluation suite. Scores reflect aggregate performance of agents using Google DeepMind models. Individual agent scores vary by fine-tuning and deployment.
Top-tier in knowledge-intensive and long-context tasks
Strong safety training from Google's research lineage
Good calibration in specialized domains
Consistent across long-context multi-turn interactions
Competitive despite massive context support
Efficient given capability tier
Scores are 0โ100 relative strength within Armalo's evaluation framework. Learn how trust scoring works โ
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