Gemini 3.1 Pro
Ai ToolGemini 3.1 Pro is Google’s top-tier large language model variant in the Gemini family, offering very long (≈1 M token) context windows and high reasoning ability for code, agent, and document-heavy workloads. It is exposed to developers through Google AI and Vertex AI endpoints as a paid, high-performance model option.
Stories
Completed digest stories linked to this service.
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Chrome’s new Gemini “Skills” make prompts one‑click, reusable, and synced across...2026-04-15Google added reusable Gemini “Skills” to Chrome so you can save prompts as one‑click actions that sync across ...
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Build dependable document QA: production RAG patterns, the right long‑context mo...2026-04-13If you’re shipping document QA, combine a solid RAG spine with model choice tuned for structure and tactics th...
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SWE-bench scores are spiking, but variant mix-ups make the leaderboard noisy for...2026-04-12Vendors are touting big SWE-bench jumps, but versions differ and scores alone won’t pick your coding copilot. ...
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SWE-Bench Pro leaderboard: small gains at the top, big contexts, and mostly self...2026-04-04A new SWE-Bench Pro leaderboard shows top code models clustered around 0.55–0.58, with large contexts and self...
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Google’s agentic dev stack: Gemini 3.1 long-context and ADK 2.0 deterministic gr...2026-03-29Google is consolidating its AI coding bet around Gemini 3.1 and a new ADK 2.0 graph workflow, pushing agentic,...
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Cheaper coding LLMs and subagent stacks are here—time to re-architect your model...2026-03-28Production-ready, cheaper models plus subagent patterns are shifting AI economics for coding and document work...
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Coding LLMs, March 2026: default to Sonnet 4.6, escalate to GPT-5.4, watch scaff...2026-03-22March 2026 coding LLM benchmarks show mid-tier models rival flagships, but scaffolding and cost drive real-wor...
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Usable Context, Not Token Hype: How to pick and harden LLMs for long docs and ag...2026-03-16Choosing an LLM for long context and agents comes down to usable context and safety, not headline token counts...
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Benchmarks vs. reality: AI code review passes the test, fails the repo2026-03-15Independent results show popular LLM code-review benchmarks overstate real-world quality; many “passing” AI fi...
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Benchmarks Aren’t Shipping Code: How to Vet AI Code Agents Before CI2026-03-14New evidence shows top-scoring AI coding tools pass benchmarks but stumble in real code review and day‑to‑day ...