Observed Signal · Feb 19, 2026 · Technical Release · Source: Trending Topics · Impact: 4/5 · Sentiment: Positive
Gemini 3.1 Pro Leads Most Benchmarks, Trails Claude Opus 4.6 in Some Tasks
Google has released Gemini 3.1 Pro, a minor update to its best LLM, Gemini 3 Pro, now available as a preview across Gemini API, Vertex AI, Gemini app, and NotebookLM. The model excels on reasoning benchmarks, achieving 77.1% on ARC-AGI-2, more than double Gemini 3 Pro's performance, and leads on Humanity's Last Exam (without tools), GPQA Diamond, Terminal-Bench 2.0, LiveCodeBench Pro, SciCode, and APEX-Agents. It also introduces code-based animated SVGs. However, it trails Anthropic's Claude Opus 4.6 on Humanity's Last Exam with tools (51.4% vs 53.1%) and OpenAI's GPT-5.3-Codex on terminal coding tasks (68.5% vs 77.3% on Terminal-Bench 2.0 with Codex harness). The model supports up to one million tokens context and 64k output tokens, and has undergone Frontier Safety Framework testing, remaining below critical risk thresholds. General availability is expected soon.
Google releases a minor update to its premier LLM, which has implications for AI-driven advertising, content generation, and automated workflows across the industry.
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Key Takeaways & Evidence Grounding
- Gemini 3.1 Pro is a minor update to Google's Gemini 3 Pro model.
- Scored 77.1% on ARC-AGI-2, more than doubling Gemini 3 Pro's reasoning performance.
- Leads on benchmarks: Humanity's Last Exam (44.4%), GPQA Diamond (94.3%), Terminal-Bench 2.0 (68.5%), LiveCodeBench Pro (2887 Elo), SciCode (59%), APEX-Agents (33.5%).
- Trails Claude Opus 4.6 on Humanity's Last Exam with tools (51.4% vs 53.1%) and GPT-5.3-Codex on Terminal-Bench 2.0 with Codex harness (68.5% vs 77.3%).
- Supports up to 1 million input tokens and 64,000 output tokens; available via Gemini API, Vertex AI, Gemini app, and NotebookLM.
- Has a context window of up to one million tokens and can output up to 64k tokens.
Connected Companies & Entities
3 Entities mapped“Google is rolling out Gemini 3.1 Pro across multiple platforms....”
“Claude Opus 4.6 from Anthropic achieves 53.1% on Humanity's Last Exam with tools....”
“GPT-5.3-Codex from OpenAI achieves 77.3% on Terminal-Bench 2.0 with Codex harness....”
Ontology Mapping & Concepts
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