Gemini 3.5 Flash
Gemini 3.5 Flash is a multimodal model from Google Deep Mind, released on 2026-06-20. It accepts text, image, audio, and video input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $1.50/ 1M | $9.00/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | - | $0.150/ 1M |
Gemini 3.5 Flash currently shows benchmark results led by Simple Bench (4 / 63, score 76.70), MCP-Atlas (3 / 27, score 83.60), LiveBench (17 / 115, score 75.02). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Gemini 3.5 Flash is a multimodal model from Google Deep Mind, released on 2026-06-20.
It accepts text, image, audio, and video input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 1M, and the recorded maximum output is 64K.
The model weights are proprietary and are not published for download. The page records 3 API pricing rules from DeepMind; current provider pricing and conditions should be checked before deployment. The evaluation section contains 9 cataloged benchmark results with their recorded modes and scores. The page links 2 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.
Gemini 3.5 Flash is a multimodal model from Google Deep Mind, released on 2026-06-20. It accepts text, image, audio, and video input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
The current model record lists text, image, audio, and video as input and text as output.
The recorded context window is 1M, and the recorded maximum output is 64K. Fields without a source-backed value remain undisclosed.
The page records 3 API pricing rules from DeepMind; current provider pricing and conditions should be checked before deployment.
The evaluation section contains 9 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.
The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.
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