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Gemini 3.5 Flash

$$$Premium
Google#11 of 92#5Coding
CompareChat

Google's high-speed thinking model for agentic workflows, chat, and coding. Near-Pro reasoning at Flash latency with a 1M-token context window and multimodal input across text, image, audio, and video. Configurable thinking levels trade speed for accuracy on demand.

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Gemini 3.5 Flash by Google has a Capability Index of 86.2, making it notably capable. It ranks #11 out of 92 models on the idapt capability leaderboard. It resolves 79% of SWE-bench Verified coding tasks. Gemini 3.5 Flash is somewhat expensive at $1.50/M tokens input and $9.00/M tokens output. Cached input reads are priced at $0.15/M tokens, making repeated context cheaper. The model supports vision/image input, audio input, extended reasoning, a 1M context window.

Best forFrontier reasoningAgentic codingExpert reasoningLong-context analysis

Benchmarks

AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10

Category Rankings

Capability
#11of 92
Coding
#5of 33
Math
#11of 70
Reasoning
#9of 78

Specifications

Vision
Audio
Reasoning
1.0M
Context
66K
Max output

Performance

Providers

Misc

May 19, 2026
Released
Same family
GoogleGemini 3 FlashGoogleGemini 3 ProGoogleGemini 3.1 Flash LiteGoogleGemini 3.1 ProGoogleGemini 3.5 Flash-LiteGoogleGemini 3.6 Flash
CompareChat with Gemini 3.5 Flash

Compare with

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Frequently Asked Questions about Gemini 3.5 Flash▼

When was Gemini 3.5 Flash released?

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Gemini 3.5 Flash was released on May 19, 2026.

Who created Gemini 3.5 Flash?

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Gemini 3.5 Flash was created by Google.

How capable is Gemini 3.5 Flash?

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Gemini 3.5 Flash has a Capability Index of 86.2/100, making it notably capable. It ranks #11 out of 92 models.

How much does Gemini 3.5 Flash cost?

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Gemini 3.5 Flash costs $1.50/M input tokens and $9.00/M output tokens.

What is Gemini 3.5 Flash API pricing?

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The Gemini 3.5 Flash API is priced at $1.50 per million input tokens and $9.00 per million output tokens. You can access Gemini 3.5 Flash through idapt.app alongside 200+ other AI models in one workspace.

Is Gemini 3.5 Flash a reasoning model?

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Yes, Gemini 3.5 Flash is a reasoning model. It can think step-by-step through complex problems before providing an answer, often yielding better results on difficult tasks like math, coding, and multi-step logic.

Does Gemini 3.5 Flash support image or vision input?

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Yes, Gemini 3.5 Flash supports vision/image input. You can share images in your conversation and the model will analyze and respond based on their content.

Does Gemini 3.5 Flash support audio?

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Yes, Gemini 3.5 Flash supports audio input, allowing it to process and respond to voice and audio files.

What is the context window of Gemini 3.5 Flash?

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Gemini 3.5 Flash has a context window of 1M tokens, meaning it can process approximately 786,432 words of context at once.

Is Gemini 3.5 Flash open source?

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Gemini 3.5 Flash is a proprietary model developed by Google. The model weights and training data are not publicly available.

How does Gemini 3.5 Flash perform on coding?

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Gemini 3.5 Flash resolves 79% of SWE-bench Verified tasks — real GitHub issues fixed end-to-end, the strongest single signal for agentic software engineering.

What is Gemini 3.5 Flash good at?

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Based on benchmark data, Gemini 3.5 Flash excels at: complex reasoning and analysis, software development and coding tasks, mathematical problem solving, visual analysis and image understanding. It is Google's capable model suitable for a wide range of tasks.

Where can I use Gemini 3.5 Flash?

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You can chat with Gemini 3.5 Flash on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Gemini 3.5 Flash through Google's own API or platform.

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