Google
Gemini 3.0 Flash
Gemini 3.0 Flash is an AI model released by Google on Wednesday, Dec 17 2025, 29 days after Gemini 3.0 Pro. Benchmark results (shown below) cover SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.1, MCP Atlas, Toolathlon, Humanity's Last Exam, and 10 more.
Benchmarks
Agentic coding
SWE-Bench ProCan 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.
49.6%
Coding
SWE-Bench VerifiedReal 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.
78%
Agentic terminal coding
Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better.
58%
Multi-step tool use
MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better.
62%
General tool use
ToolathlonTests how well the AI uses everyday real-world tools and apps to get things done. Higher is better.
49.4%
Multidisciplinary reasoning
Humanity's Last ExamHumanity'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.
33.7%
no tools
Abstract reasoning
ARC-AGI-2Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better.
33.6%
Science
GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better.
90.4%
Agentic computer use
OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better.
65.1%
Agentic financial analysis
Finance Agent v2Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better.
42.6%
Knowledge work
GDPval-AAMeasures how well the AI does economically valuable knowledge work, judged against human experts. Shown as a rating (like a chess Elo) — higher is better.
1204
Chart reasoning
CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better.
80.3%
Multimodal reasoning
MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better.
81.2%
Spatial reasoning
Blueprint-Bench 2Can the AI reason about space and layout — for example, understanding a floor plan or blueprint? Higher is better.
0%
Long context
MRCR v2 (8-needle)Tests whether the AI can find specific details buried inside a very long document (around 128k tokens — roughly a long book). Higher is better.
67.2%
128k average
22.1%
1M pointwise
Community preference (code)
Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better.
1437
Compare Gemini 3.0 Flash with
Gemini 3.0 Flash vs Gemini 3.5 FlashGemini 3.0 Flash vs GPT-5.6 SolGemini 3.0 Flash vs Claude Sonnet 5Gemini 3.0 Flash vs Muse Spark 1.1Gemini 3.0 Flash vs Grok 4.5Gemini 3.0 Flash vs DeepSeek-V4-ProGemini 3.0 Flash vs Mistral Medium 3.5Gemini 3.0 Flash vs Kimi K3Gemini 3.0 Flash vs Composer 2.5Gemini 3.0 Flash vs GLM-5.2