Google: Gemini 3.5 Flash
Analysis Summary
Google Gemini 3.5 Flash is a multimodal model supporting text, image, file, audio, and video input, making it one of the broadest modality offerings in the current landscape. Its coding index of 47.1 is excellent, and tool use and function calling are both supported. The intelligence index of 43.3 places it in the very strong tier, and the 1M token context window is a significant advantage for long-document and large-codebase workflows.
For businesses, Gemini 3.5 Flash is well suited to coding assistance, multimodal content processing, and workflows that require audio or video understanding alongside text. Its instruction following score (ifbench 0.47) is the weakest dimension and may affect reliability in precise content generation tasks. Long-context reasoning (lcr 0.53) is adequate but not exceptional.
At $1.50 input and $9.00 output per million tokens, the output pricing is on the higher side relative to competitors at a similar intelligence level. Teams that specifically need audio and video input alongside strong coding capability will find it a compelling choice; those focused on text-only or cost-sensitive workloads may prefer alternatives with better price-performance ratios.
Assessed June 6, 2026
Editorial notes
Gemini 3.5 Flash from Google pairs strong coding performance with full multimodal input including audio and video, tool use, and a 1M token context window.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 3.5 Flash compares
Google: Gemini 3.5 Flash ranks #41 of 378 AI models we track for overall intelligence, #18 of 315 for coding, #77 of 289 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $1.50 per million input tokens it is cheaper than 18% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 3.5 Flash stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.50 | $0.001500 |
| Output | $9.00 | $0.009000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
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Frequently asked questions about Google: Gemini 3.5 Flash
How much does Google: Gemini 3.5 Flash cost?
Google: Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens.
What is the context window of Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.5 Flash good for coding?
On our coding benchmark index, Google: Gemini 3.5 Flash ranks #18 of 315 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.5 Flash do?
Google: Gemini 3.5 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash is developed by Google and was released on May 19, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm