# Gemini 3.0 Flash

Gemini 3.0 Flash is an AI model released by Google on Dec 17 2025. At release it scored 90.4% on GPQA Diamond, 78% on SWE-Bench Verified and 65.1% on OSWorld-Verified.

## Facts

| Field | Value |
| --- | --- |
| Model | Gemini 3.0 Flash |
| Developer | Google |
| Release date | Wednesday, Dec 17 2025 |
| Licensing | Proprietary |

## Benchmark scores published at release

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| SWE-Bench Pro | 49.6% | Lab | Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. |
| SWE-Bench Verified | 78% | 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. |
| Terminal-Bench 2.1 | 58% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. |
| MCP Atlas | 62% | Lab | Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. |
| Toolathlon | 49.4% | Lab | Tests how well the AI uses everyday real-world tools and apps to get things done. Higher is better. |
| Humanity's Last Exam (no tools) | 33.7% | Lab | Humanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. |
| ARC-AGI-2 | 33.6% | Lab | 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 | 90.4% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |
| OSWorld-Verified | 65.1% | Lab | Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. |
| Finance Agent v2 | 42.6% | Lab | Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. |
| GDPval-AA | 1204 | Lab | Measures how well the AI does economically valuable knowledge work, judged against human experts. Shown as a rating (like a chess Elo) — higher is better. |
| CharXiv Reasoning | 80.3% | Lab | Can the AI read and reason about complex charts and figures, not just text? Higher is better. |
| MMMU-Pro | 81.2% | Lab | A tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. |
| Blueprint-Bench 2 | 0% | Lab | Can the AI reason about space and layout — for example, understanding a floor plan or blueprint? Higher is better. |
| MRCR v2 (8-needle) (128k average) | 67.2% | Lab | Tests whether the AI can find specific details buried inside a very long document (around 128k tokens — roughly a long book). Higher is better. |
| MRCR v2 (8-needle) (1M pointwise) | 22.1% | Lab | Tests whether the AI can find specific details buried inside an enormous document (around 1 million tokens — many books). Higher is better. |

## Questions and answers

### When was Gemini 3.0 Flash released?

Gemini 3.0 Flash was released by Google on Wednesday, Dec 17 2025.

### Who made Gemini 3.0 Flash?

Gemini 3.0 Flash 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 Flash get?

Gemini 3.0 Flash reports 16 tracked benchmark scores — SWE-Bench Pro: 49.6%; SWE-Bench Verified: 78%; Terminal-Bench 2.1: 58%; MCP Atlas: 62%; Toolathlon: 49.4%; Humanity's Last Exam (no tools): 33.7%; ARC-AGI-2: 33.6%; GPQA Diamond: 90.4%; OSWorld-Verified: 65.1%; Finance Agent v2: 42.6%; GDPval-AA: 1204; CharXiv Reasoning: 80.3%; MMMU-Pro: 81.2%; Blueprint-Bench 2: 0%; MRCR v2 (8-needle) (128k average): 67.2%; MRCR v2 (8-needle) (1M pointwise): 22.1%. Scores are the figures published at release by Google.

### Is Gemini 3.0 Flash open source?

No. Gemini 3.0 Flash is a proprietary 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 Flash?

Google's previous tracked release was Gemini 3.0 Pro on Nov 18 2025, 29 days earlier. It was followed by Gemini 3.1 Pro on Feb 19 2026.


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Canonical page: https://aireleasetracker.com/model/google/gemini-3.0-flash
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.