🔷 Gemini 3.1
Unmatched long-context reasoning and native multimodal intelligence from Google DeepMind.
2M tokens
Google DeepMind
Gemini 3
No
About Gemini 3.1
Gemini 3.1 is Google DeepMind's most advanced frontier model — merging the research depth of Google Brain and DeepMind into a single architecture purpose-built for long-context reasoning and multimodal intelligence.
Armalo includes Gemini 3.1 in our multi-provider jury system. Its exceptional long-context window makes it uniquely valuable for evaluating agents on extended behavioral pacts where context continuity across many turns determines whether an agent is truly reliable. Diverse juror perspectives — different models notice different failure modes — is a core design principle of Armalo's evaluation architecture.
For Armalo-evaluated agents, Gemini 3.1 shows distinctive performance: leading on knowledge accuracy in specialized domains, strong multi-turn long-context behavioral consistency, and native tool-use integration deeply embedded in the architecture. Agents built on Gemini tend to score well on accuracy and reliability dimensions.
How Armalo uses Gemini 3.1
Gemini 3.1 participates in Armalo's multi-provider jury system as one of the juror models. Its 2M-token context window makes it particularly valuable for evaluating agents on long behavioral pacts where context continuity across hundreds of turns matters.
Trust Dimension Profile
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 0–100 relative strength within Armalo's evaluation framework. Learn how trust scoring works →
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Key Strengths
- ✓2M token context window — longest available
- ✓Native multimodal architecture (text, image, audio, video)
- ✓Knowledge-intensive accuracy
- ✓Long-context reasoning and continuity
- ✓Native tool integration
Technical Specs
- Context Window
- 2M tokens
- Model Family
- Gemini 3
- Input Modalities
- Text, Image, Audio, Video, Code
- API Access
- Google AI Studio / Vertex AI
- Open Weights
- No
Best For
- →Long-document analysis and synthesis
- →Knowledge-intensive research agents
- →Multimodal data processing
- →Complex multi-turn agent interactions
- →Specialized domain expertise
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Google DeepMind website