33
Intelligence Index
Above 89% of 112 other free models
Go
Google: Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs. Defaults to medium thinking effort for faster and more cost-efficient responses, with full support for thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs.
- Input
- text
- image
- video
- file
- audio
- Output
- text
- #4 for coding
- 1M context
- Video understanding
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
70.1
Coding Index
Above 95% of 64 other free models
27.3
Agentic Index
Above 80% of 45 other free models
Bars show scores from other free models on this site. The marker shows this model’s score. Comparisons include only models with a score for that index.
Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
Gemini 3.5 Flash is available with up to 12 requests / minute free through Onomeo. Free allowances can change. Check the Gemini 3.5 Flash provider limits before you start.
To use Gemini 3.5 Flash, choose one of the listed Gemini 3.5 Flash API providers and follow the provider’s account and API-key setup guide. Copy the Gemini 3.5 Flash model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Gemini 3.5 Flash accepts text, image, video, file, and audio as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Gemini 3.5 Flash documentation for supported file types and request formats.
Gemini 3.5 Flash has a listed context window of 1M tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Gemini 3.5 Flash may be smaller than the context window and can vary by provider.
Gemini 3.5 Flash has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed Gemini 3.5 Flash benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Gemini 3.5 Flash on examples from your own task alongside context size and provider limits.