Gemini 3 Flash

// Overview

Gemini 3 Flash is Google's fast, cost-efficient model in the Gemini 3 family, released on December 17, 2025. It carries over the complex reasoning, multimodal understanding, and tool-use abilities of Gemini 3 Pro, but is tuned for low latency and low price — Google positions it as the everyday workhorse for high-volume, latency-sensitive workloads where Pro would be overkill.

Despite being the smaller, cheaper tier, Gemini 3 Flash punches well above its weight. It accepts text, images, audio, video, and PDFs across a 1 million-token context window and returns up to roughly 64K tokens of text output. It supports configurable 'thinking levels' (minimal, low, medium, high), structured output, function calling, and automatic context caching, so developers can dial reasoning effort up or down per request to trade cost against quality.

On Google's published benchmarks, Gemini 3 Flash scores 90.4% on GPQA Diamond and 81.2% on MMMU-Pro — close to Gemini 3 Pro — and reaches 78% on SWE-bench Verified for agentic coding, where Google reports it actually edges out Gemini 3 Pro. At $0.50 per 1M input tokens and $3 per 1M output tokens, it undercuts the Pro tier substantially while running about 3x faster than Gemini 2.5 Pro.

// Benchmarks

1. GPQA Diamond90.4%
2. MMMU-Pro81.2%
3. SWE-bench Verified78%
4. Humanity's Last Exam (no tools)33.7%
5. MCP Atlas57.4%
6. Toolathlon49.4%

Scores on a 0–100 scale (25-point gridlines); higher is better. Each benchmark links to its published source.

// Pricing

Audio input is priced at $1.00 / 1M tokens. Automatic context caching can reduce effective cost for repeated content. Pricing is for the Gemini API; preview model.

Pricing source ↗

// Strengths

• Near-Pro reasoning quality at a fraction of the price and latency — about 3x faster than Gemini 2.5 Pro
• Strong agentic coding: 78% on SWE-bench Verified, ahead of Gemini 3 Pro on Google's own figures
• 1 million-token context window for long documents, codebases, and multi-file inputs
• Genuinely multimodal input — text, images, audio, video, and PDFs in a single request
• Configurable thinking levels let you tune cost vs. depth per call, with automatic context caching to cut repeated-prompt costs
• Uses roughly 30% fewer tokens than Gemini 2.5 Pro on typical tasks, lowering effective cost further

// Best for

• High-volume production features where Gemini 3 Pro would be too slow or expensive
• Agentic coding assistants and code-fixing agents (Gemini CLI, Antigravity, IDE tools)
• Long-document and PDF analysis, summarization, and extraction over the 1M-token window
• Multimodal apps that mix images, audio, video, and text in one pipeline
• Real-time chat and search experiences (it powers AI Mode in Search and the Gemini app) needing fast responses
• Tool-using and multi-step workflow agents that need solid reasoning at low latency

// How to access

// Gemini Flash — every version

The full lineage of the Gemini Flash line, newest first. Every version has its own page — click any to compare specs, benchmarks and pricing.