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Gemini 35 Flash

All articles tagged with #gemini 35 flash

technology29 days ago•5 min saved

AI Costs Go Pay-Per-Use: Fable 5, GPT-5.5 Pro, and Gemini 3.5 Flash Redefine Pricing

AI pricing is diverging as major models shift to usage-based costs: Anthropic's Fable 5 moves to pay-as-you-go on June 23 at $10 per million input tokens and $50 per million output tokens (subscription allowances may be reinstated later), OpenAI's GPT-5.5 Pro costs $5 per million input tokens and $30 per million output tokens via API, and Gemini 3.5 Flash offers $1.50 per million input tokens and $9 per million output tokens (with a free tier). Costs depend on task complexity, with long-running, multi-step tasks driving higher bills, so users should compare plans and read fine print before choosing.

via Gizmodo|

#ai-models #fable-5 #gemini-35-flash

technology1 month ago•4 min saved

Google Acknowledges Lag in Agentic Coding as Antigravity Pushes to Close the Gap

Pichai said Google is ‘a bit behind’ in agentic coding and long-horizon tasks due to a lack of developer-facing coding data, but the company is closing the gap with Antigravity 2.0 (a standalone desktop app for agent-based coding) whose internal usage is doubling weekly, plus the launch of Gemini 3.5 Flash and plans for Gemini 3.5 Pro for internal use, signaling progress in building a data-driven loop to improve coding-enabled AI.

via Search Engine Journal|

#agentic-coding #ai #antigravity

technology1 month ago•70 min saved

OpenClaw at 300k stars as Spark arrives: the hosted vs. self-hosted AI agent showdown

OpenClaw, a self-hosted AI agent that users could run on their own hardware, surpassed 300,000 GitHub stars, while Google unveiled Spark, a 24/7 hosted Gemini-based agent that runs on Google Cloud and threads into Gmail, Docs, and Sheets. Both are converging on MCP for tool connectivity, but differ in substrate: OpenClaw emphasizes control and ownership of credentials and workflows, whereas Spark offers hands-free convenience with Google hosting the runtime and context. The choice boils down to privacy and autonomy versus ease of use and seamless integration, signaling a two‑tier future for AI agents.

via The New Stack|

#ai-agents #gemini-35-flash #mcp

technology1 month ago•9 min saved

Google's Gemini 3.5 Flash bets big on scalable agent AI and efficiency

Google rolls out Gemini 3.5 Flash across its products, touting frontier-level intelligence with far greater efficiency (about 300 tokens per second) to enable long-running agentic tasks. The update beats older Flash versions, approaches 3.1 Pro in performance, and rivals GPT-5.5 on benchmarks. It also introduces Spark, a cloud-based AI agent that can operate across Drive and Gmail, and outlines Omni Flash as a future multimodal model, with internal testing and phased rollouts including a new Ultra tier for Spark and upcoming Pro variants.

via Ars Technica|

#ai-agents #gemini-35-flash #google