Gemini 3.5 Flash: frontier intelligence with action

· ai ai-agents coding · Source ↗

TLDR

  • Google releases Gemini 3.5 Flash at Google I/O, claiming frontier agentic and coding performance at 4x the output token speed of rival models.

Key Takeaways

  • 3.5 Flash tops Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo), MCP Atlas (83.6%), and CharXiv Reasoning (84.2%), outperforming Gemini 3.1 Pro on agentic benchmarks.
  • Priced at $1.50/M input and $9.00/M output tokens; Google claims under half the cost of other frontier models for agentic workloads.
  • Available now via Google Antigravity, Gemini API, AI Studio, Android Studio, Gemini Enterprise, and the Gemini app globally.
  • Gemini Spark, a 24/7 personal AI agent powered by 3.5 Flash, is rolling out to trusted testers with Google AI Ultra beta planned for next week.
  • Enterprise partners including Shopify, Macquarie Bank, Salesforce, Ramp, Xero, and Databricks are piloting agentic workflows with the model.

Hacker News Comment Review

  • The price jump is the dominant concern: 3.5 Flash costs $1.50/$9.00 per million tokens, a 3x increase over 3.1 Flash and roughly equal to what 2.5 Pro cost, breaking the usual Flash value proposition.
  • Commenters on Artificial Analysis data argue the model is less capable per token than the price implies, with GPT-5.5 still seen as stronger on benchmarks despite Google’s claims.
  • Skepticism runs high about Gemini 3.0 being skipped to preview-only status and whether Google can close the vibes gap on tool calling before users commit to competing platforms.

Notable Comments

  • @GodelNumbering: Lays out the full pricing ladder from 2.5 Flash to 3.5 Flash, noting the unprecedented 3x jump and parity with 2.5 Pro pricing.
  • @asar: Flags that 3.5 Flash input price is 6x the 3.1 Flash Lite rate, a sharp context anchor for cost-sensitive builders.

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