Gemini 3 is here — Pro preview, Deep Think, and benchmark highlights
Google officially released Gemini 3 and opened Gemini 3 Pro in preview, introducing a Deep Think reasoning mode and new state-of-the-art benchmark results. Here’s a concise recap from the official announcement.
TL;DR
Google has released Gemini 3, describing it as its most intelligent model. Gemini 3 Pro is available in preview today, and Google also introduced Gemini 3 Deep Think for enhanced reasoning. The official announcement highlights new state‑of‑the‑art benchmark scores, a 1M token context window, and availability across AI Studio, Vertex AI, and Gemini CLI.
What Google announced
From Google’s official release:
- Gemini 3 Pro preview is available now
- Deep Think reasoning mode was introduced
- 1M token context window for long‑form multimodal tasks
- Gemini 3 is positioned as Google’s best multimodal and agentic model
Benchmark highlights (official)
The release lists strong SOTA results, including:
- LMArena: 1501 Elo
- Humanity’s Last Exam: 37.5% (no tools)
- GPQA Diamond: 91.9%
- MathArena Apex: 23.4%
- MMMU‑Pro: 81%
- Video‑MMMU: 87.6%
- SimpleQA Verified: 72.1%
On the developer side, Google notes:
- WebDev Arena: 1487 Elo
- Terminal‑Bench 2.0: 54.2%
- SWE‑bench Verified: 76.2%
Availability
Google says Gemini 3 is available via:
- Google AI Studio
- Vertex AI
- Gemini CLI
- Google Antigravity (agentic development platform)
- Third‑party platforms including Cursor, GitHub, JetBrains, Manus, Replit
Why it matters
Gemini 3’s benchmark jumps and tooling support make it a strong candidate for:
- Multimodal reasoning workflows
- Agentic coding systems
- Production‑grade coding assistants
How to evaluate in your stack
- Run A/B tests against your current default model.
- Compare latency + cost across providers.
- Measure tool‑use reliability in real workflows.
For model‑agnostic routing, see Models, Pricing, and the Blog.
Sources
- Google official release: Gemini 3: Introducing the latest Gemini AI model
- Reddit thread: “Gemini 3 is launched” (r/LocalLLaMA)