# Gemini 3.0 Pro

Gemini 3.0 Pro is an AI model released by Google on Nov 18 2025. It has a 1M context window. Tracked results include 48% on BullshitBench v2, 76.2% on SWE-Bench Verified and 91.9% on GPQA Diamond.

## Facts

| Field | Value |
| --- | --- |
| Model | Gemini 3.0 Pro |
| Developer | Google |
| Release date | Tuesday, Nov 18 2025 |
| Licensing | Closed |
| Context window | 1M |

## Tracked benchmark scores

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| BullshitBench v2 | 48% | [BullshitBench](https://github.com/petergpt/bullshit-benchmark) | Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. |
| SWE-Bench Verified | 76.2% | Lab | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| Next.js Evals | 52% | [Next.js Evals](https://nextjs.org/evals) | Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. |
| ARC-AGI-2 | 31.1% | [BenchLM](https://benchlm.ai), retrieved 2026-07-11 | Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. |
| GPQA Diamond | 91.9% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |
| MMMU | 81% | Lab | Tests the AI on understanding images and text together across many college subjects. Higher is better. |

## About Gemini 3.0 Pro

Gemini 3.0 Pro was introduced in preview on November 18, 2025 as the Pro model of Google's third Gemini generation. Google emphasized multimodal reasoning, coding and tool-using workflows. Its published launch results included 91.9% on GPQA Diamond and 81.0% on MMMU-Pro.

The launch extended Gemini into Search's AI Mode and introduced the Antigravity development platform for agent-assisted software work. Pro was available through Google's developer and enterprise platforms, with access also built into the Gemini app. Its preview release was a distinct checkpoint before subsequent Gemini 3 updates.

## Questions and answers

### When was Gemini 3.0 Pro released?

Gemini 3.0 Pro was released by Google on Tuesday, Nov 18 2025.

### Who made Gemini 3.0 Pro?

Gemini 3.0 Pro was built by Google. Builds the Gemini family of models through Google DeepMind. Integrates AI across Google products.

### What benchmark scores did Gemini 3.0 Pro get?

Gemini 3.0 Pro reports 6 tracked benchmark scores — BullshitBench v2: 48%; SWE-Bench Verified: 76.2%; Next.js Evals: 52%; ARC-AGI-2: 31.1%; GPQA Diamond: 91.9%; MMMU: 81%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.

### What is the context window of Gemini 3.0 Pro?

Gemini 3.0 Pro has a context window of 1M. Providers may specify separate input and output token limits.

### Is Gemini 3.0 Pro open source?

No. Gemini 3.0 Pro is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after Gemini 3.0 Pro?

Google's previous tracked release was Gemini 2.5 Flash-Lite on Jun 17 2025, 154 days earlier. It was followed by Gemini 3.0 Flash on Dec 17 2025.


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Canonical page: https://aireleasetracker.com/model/google/gemini-3.0-pro
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.