Gemini 3 Flash
Gemini 3 Flash is a text and image understanding model from Google with a 1,048,576-token context window.
GoogleLarge-context flash model with thinking support
Gemini 3 Flash is a multimodal text generation model developed by Google, released in December 2025 under the identifier gemini-3-flash-preview. It accepts both text and image inputs and supports a context window of 1,048,576 tokens, making it suitable for tasks that require processing large volumes of content in a single request. The model also exposes a configurable thinking budget, allowing developers to control how much internal reasoning the model applies before producing a response.
Gemini 3 Flash is designed for use cases where low latency matters alongside large-context handling, such as document analysis, multi-turn conversation, and tool-augmented workflows. It supports external tool calling natively and includes a priority mode setting that lets developers tune the balance between speed and thoroughness. The model is available directly through MindStudio without requiring separate API key configuration.
What Gemini 3 Flash supports
Large Context Window
Processes up to 1,048,576 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories without truncation.
Real-Time Latency
Optimized for low-latency responses, making it suitable for interactive applications and real-time user-facing workflows.
Tool Calling
Supports native tool use, allowing the model to invoke external functions or APIs as part of a response and enabling agent-style task completion.
Image Understanding
Accepts image inputs alongside text, supporting tasks such as visual question answering, image description, and document parsing from screenshots.
Configurable Thinking
Exposes a thinking budget input that lets developers set how much internal reasoning the model performs, with an optional numeric limit to cap compute usage.
Priority Mode
Includes a priority mode selector that allows developers to tune the trade-off between response speed and output thoroughness at inference time.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 88.2% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 81.2% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 79.7% |
| HLE | Questions that challenge frontier models across many domains | 14.1% |
| SciCode | Scientific research coding and numerical methods | 49.9% |
| SWE-bench Verified | Real GitHub issues requiring multi-file code fixes | 78.0% |
Common questions about Gemini 3 Flash
What is the context window size for Gemini 3 Flash?
Gemini 3 Flash supports a context window of 1,048,576 tokens, which allows very long documents, transcripts, or conversation histories to be processed in a single call.
What is the maximum response size?
The model can return up to 65,535 tokens in a single response.
Does Gemini 3 Flash support image inputs?
Yes. The model accepts image inputs in addition to text, enabling multimodal tasks such as visual question answering and image-based document analysis.
What is the thinking budget, and how does it work?
The thinking budget is a configurable input that controls how much internal reasoning the model applies before generating a response. A numeric limit can also be set to cap the amount of compute used for this reasoning step.
When was Gemini 3 Flash released?
Gemini 3 Flash was released in December 2025 and became available on MindStudio on December 17, 2025.
Is pricing information available for Gemini 3 Flash?
Published pricing details are not listed in the current metadata. Check the MindStudio platform or Google's official documentation for the latest pricing information.
What people think about Gemini 3 Flash
Community reception on Reddit has been largely positive, with users highlighting the model's benchmark results including a reported 99.7% score on AIME and a rank of #3 on LMArena at the time of release. The low cost of approximately $0.50 per 1 million tokens relative to its reported reasoning performance has been a frequently cited point of interest.
Discussions have also focused on specific capabilities such as agentic vision features introduced in a subsequent update, and independent benchmark results including a reported high "Omniscience" score. Some threads reference deleted posts from researchers at Google DeepMind, suggesting community interest in behind-the-scenes development context.
Google releases Gemini 3 Flash: Ranks #3 on LMArena (above Opus 4.5), scores 99.7% on AIME and costs $0.50/1M plus Benchmarks.
Google introduces Agentic Vision in Gemini 3 Flash
UPDATE: Independent Benchmarks for Gemini 3 Flash (Highest "Omniscience" Score ever recorded) + Google Lead teases: "The week is not over yet." Gemma 4 incoming?
deleted post from a research scientist @ GoogleDeepMind
Parameters & options
Must be less than Max Response Size
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