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Google's Gemini 3.5 Flash outperforms 3.1 Pro on coding and agents

Google's Gemini 3.5 Flash model has surpassed its predecessor, Gemini 3.1 Pro, on several key benchmarks, particularly in coding and agentic tasks. This new tier offers a significant cost reduction of 40% and approximately four times faster output generation compared to 3.1 Pro. While Gemini 3.5 Flash excels in tool-use and agentic performance, Gemini 3.1 Pro still maintains an edge in pure reasoning and novel problem-solving benchmarks. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Accelerates adoption of cheaper, faster models for agentic tasks, potentially lowering costs for AI-powered applications.

RANK_REASON New model release from a frontier lab (Google) with performance benchmarks against prior models. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 · Thousand Miles AI ·

    Gemini 3.5 Flash beat 3.1 Pro on coding and agents

    <p>Gemini 3.5 Flash scored 76.2% on Terminal-Bench 2.1. Gemini 3.1 Pro — the tier above it in Google's own lineup — scored 70.3%.</p> <p>Google shipped Flash at I/O 2026 on May 19. It costs $2.50 per million input tokens and $15 per million output, which is 40% cheaper than 3.1 P…