Google: Gemini 3.5 Flash
Analysis Summary
Gemini 3.5 Flash is Google's latest Flash-tier flagship, in the top 10 globally by intelligence index at 50.2. Its coding index of 70.1 and agentic index of 68.1 place it firmly in the top tier for software engineering and autonomous task execution. The model accepts text, image, file, audio, and video inputs, making it one of the most capable multimodal models available at this price point.
For businesses, the combination of near-frontier reasoning, strong coding, broad modality support, and a 1M token context window makes it suitable for a wide range of workloads: document analysis, code generation, agentic pipelines, and content production. Tool use and function calling are both supported. The agentic index is slightly below its intelligence and coding peers, which is worth monitoring for complex multi-step agent deployments.
At $1.50 input and $9.00 output per million tokens, it is priced accessibly for a model at this capability level. Google's infrastructure and enterprise support make it a practical default choice for teams wanting frontier performance without the cost of the heaviest flagship models.
Assessed June 30, 2026
Editorial notes
Gemini 3.5 Flash from Google pairs a 50.2 intelligence index with a 70.1 coding score, full multimodal input including audio and video, a 1M token context, and competitive pricing for a top-tier model.
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 #10 of 385 AI models we track for overall intelligence, #9 of 139 for coding, #28 of 293 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 frontier 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.
Leaderboard Categories
External Resources
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 #9 of 139 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.
