Gemini 3 5 Flash Pairs Smarts With Speed

2026-05-29 · Source: The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Advanced, short

Summary

Google has launched Gemini 3.5 Flash, an updated mid-tier multimodal model offering significant improvements in agentic capabilities, visual understanding, and speed. This new version, priced three times higher than its predecessor Gemini 3 Flash, supports text, images, audio, and video inputs up to 1 million tokens, and text outputs up to 64,000 tokens at 204 tokens per second. Built on a mixture-of-experts transformer architecture, it features adjustable reasoning levels and "thought preservation" for multi-turn conversations. Gemini 3.5 Flash tops Artificial Analysis's APEX-Agents-AA benchmark with 47.1% accuracy and MMMU-Pro multimodal benchmark with 84% accuracy, though it trails leading models in overall intelligence, knowledge, and coding. It is available free via the Gemini app and Google AI Studio, with API pricing at \$1.50/\$0.15/\$9.00 per million input/cached/output tokens. This release, alongside updates to Antigravity and the introduction of Omni Flash, redefines Google's "Flash" tier as a mid-range offering.

Key takeaway

For AI Engineers developing agentic or low-latency multimodal applications, you should evaluate Gemini 3.5 Flash. Its top performance on APEX-Agents-AA and high speed make it suitable for complex multi-turn tasks and real-time interactions, despite its higher per-token cost compared to previous Flash models. Consider its adjustable reasoning levels and "thought preservation" feature to optimize your agent's performance and context retention.

Key insights

Gemini 3.5 Flash redefines Google's "Flash" tier, offering enhanced agentic and visual capabilities at a higher cost, reflecting a trend of rising token prices.

Principles

• Speed and agentic capability often justify higher token costs.
• Multimodal pretraining enhances diverse task performance.
• Reasoning levels impact benchmark performance significantly.

Method

Gemini 3.5 Flash is a mixture-of-experts transformer, multimodally pretrained on diverse data, then fine-tuned via reinforcement learning for multi-step reasoning and problem-solving.

In practice

• Utilize "thought preservation" for complex multi-turn agentic tasks.
• Adjust reasoning levels to optimize performance for specific use cases.
• Explore Gemini 3.5 Flash for low-latency applications like chatbots.

Topics

• Gemini 3.5 Flash
• Multimodal Models
• Agentic AI
• Mixture-of-Experts
• Large Language Models
• Token Pricing

Best for: NLP Engineer, Computer Vision Engineer, CTO, AI Engineer, Machine Learning Engineer, Director of AI/ML

Related on AIssential

• Gemini 3.5 Flash: Frontier Intelligence with Speed — Gemini 3.5 Flash delivers rapid, low-latency AI for agentic workflows, coding, and multimodal reasoning.
• Gemini 3.5 Flash might be fast enough for gen AI to make sense — Gemini 3.5 Flash demonstrates that high intelligence and efficiency can enable scalable agentic AI.
• Gemini 3.5 Flash Looks Good For How Fast It Is — Gemini 3.5 Flash offers high speed for agentic tasks, but its intelligence and cost-effectiveness are debated.
• Gemini 3.5 Flash: Google's Most Powerful Model Ever! Beats Opus 4.7 & GPT 5.5? (Fully Tested) — Gemini 3.5 Flash offers superior coding and creative generation at a higher cost and token usage than previous flash models.
• Gemini 3.1 Flash Lite in 14 mins! — Gemini 3.1 Flash Lite offers high-speed, cost-effective multimodal AI capabilities for diverse applications.
• With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots — Google's Gemini 3.5 Flash shifts AI from conversational to autonomous agentic capabilities, excelling in speed and complex task execution.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai.