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Model Card: Gemini 4 Carbon

Gemini 4 Carbon: shipped 2026-10-28, just two weeks after Argon; Google's own announcement gives no context window or output cap number — a third party, Artificial Analysis, measured a 1M-token context window; pricing carries over Argon's current promo rate, $2.00 input / $10.00 output per 1M tokens, doubling to $4.00/$20.00 once the promo ends (no end date given); state-of-the-art on all three cybersecurity benchmarks — SEC-bench Pro 88.2% (finding vulnerabilities), ExploitGym 54.8% (exploit validation), CWE-bench 71.0% (patching, up from Argon's 68%); #1 worldwide on Artificial Analysis Intelligence Index v5.0 at 59, just one point ahead of Claude Opus 5.5's 58; access is limited to trusted security partners through the Fairwind Program, and there's still no public API model ID

techdeep-dive

Using the Gemini API CLI: How It Splits Work with Antigravity CLI and the Gen AI SDK, Setup, and Limits

The Gemini API CLI (gemini-api) is an experimental preview (v0.4.x) Google released on 2026-10-19: a single Go binary that turns Gemini models, media generation, and managed agents into stateless shell commands. It is not a coding agent. Use it when your own code decides the next step, Antigravity CLI when you want an agent to plan, and the Gen AI SDK for application backends.

Pricing Watch | Vertex AI Retires Gemini 2.5 Today, While the Gemini API Says It's Not Retired at All

On 2026-10-20, Google Cloud retired gemini-2.5-pro, gemini-2.5-flash, and gemini-2.5-flash-lite on Vertex AI (Gemini Enterprise Agent Platform) — but the Gemini developer API's own deprecation page lists the same three models as having no shutdown date announced, the same week. Which endpoint you call decides how long your model keeps working. Migrating to Google's named replacements, Gemini 2.5 Pro users actually come out ahead (input up 20%, output down 10%), Gemini 2.5 Flash users land flat, and Gemini 2.5 Flash-Lite users pay more than double.

Pricing Watch | Google Finally Sets an Expiry Date for Gemini 4 Argon's Promo Price — Nov 30 Deadline, Then a 100% Hike

Google's pricing page now carries the expiry date that was missing before: the Gemini 4 Argon promo price (input $2.00, output $10.00 per million tokens) holds through 2026-11-30, then both double to $4.00 / $20.00 starting December 1. Gemini 3.8 Flash and the previous-generation Flash model keep their promo price ($0.75 / $3.75) through 2026-12-31, then double to $1.50 / $7.50 on January 1, 2027. Our October 4 report flagged that Argon's promo had no end date — Google has now filled that gap, and the hike lands exactly at the 100% the original footnote promised.

How to Write a Bug Report That Earns the Full Reward: Quality Multipliers, a One-Page Template, and Expected Value

Google multiplies the reward by 0.8, 1 or 1.2 depending on report quality across seven dimensions, and only counts what you provided before triage; later additions usually do not change it. Write to a one-page template (title, summary, preconditions, steps, impact, fix suggestion), then estimate hourly expected value as probability x amount / hours. A bigger ceiling can still lose to a small payout once the odds are low enough. Only Resolved is guaranteed to pay; duplicates and invalid reports are common. Every probability and hour count in this post is an assumption, not a statistic.

Bug Bounty Payout Map: What Google, Hyper-V, Meta TEE, Apple and Mozilla Pay For

Read payouts with their product, category, threat scenario and evidence requirements; program ceilings and quality rules are not interchangeable.

Model Card: Gemini 4 Argon

Gemini 4 Argon: announced 2026-09-30. Google states only the output limit — 1M tokens (up from 64K) — and has not published an input context window (third-party reports of 2M tokens can't be traced to a Google source); introductory pricing is $2.00 input / $10.00 output per 1M tokens, doubling to $4.00 / $20.00 once the promo ends; it sets a new SOTA on DeepSWE v1.1 at 77.9% (vs. 74.2% for Opus 5.5 and 74.1% for GPT-6 Astra), but only scores 55% on FrontierSWE v2, trailing GPT-6 Astra's 65.5%; access is currently limited to trusted security partners through the Fairwind Program — developers, enterprises, and consumers don't have it yet

Pricing Watch | Google's Free Gemini App Drops to Flash-Lite Only on 10/9, Plus Loses Pro Access

Starting 2026-10-09, Google cuts the free Gemini App's model lineup (personal accounts) from Flash-Lite/Flash/limited Pro down to Flash-Lite only. AI Plus ($7.99/month) loses Pro access but keeps Flash. AI Pro ($19.99/month) and AI Ultra are unaffected, and AI Pro now also gets Deep Think, a feature previously exclusive to Ultra. This isn't a Gemini API or AI Studio pricing change — it's purely a usage-policy tightening on the consumer app.

Pricing Watch | Gemini 4 Argon launches at $2/$10, doubles to $4/$20 after the promo — with no end date

Google announced Gemini 4 Argon on 2026-09-30 with an introductory API price of $2.00 input / $10.00 output per 1M tokens (cached input $0.10). Once the introductory period ends, the standard price doubles to $4.00/$20.00 (cached $0.20) — a 100% jump. The announcement only says the increase kicks in 'after the introductory period expires,' with no actual date, and Argon is currently limited to trusted cybersecurity partners with no timeline for general API access.

Gemma — Google's Open-Weights Flank: Gemma 4 Moves to Apache 2.0, From Mobile to Workstation Full-Size Open Weights

Gemma is Google's open-weights family paired with the closed-source Gemini flagship; Gemma 4 (E2B / E4B / 26B-MoE / 31B) released in April 2026 switched its license from Google Gemma Terms of Use to Apache 2.0 — the single most important change in this article.

The Multi-Agent Landscape: How Every Major Coding Agent Does Multi-Agent Collaboration in 2026

By 2026 nearly every mainstream coding agent supports subagents. Design philosophies split three ways: deterministic scripted orchestration (Claude Code Workflow), model-driven autonomy (Codex, Devin), and IDE command-center integration (Windsurf 2.0, VS Code). This overview maps product positioning, a capability matrix, and the design-philosophy spectrum.

Model Card|Gemini 3.8 Flash

Gemini 3.8 Flash (gemini-3.8-flash): launched 2026-09-02, 1,048,576 input tokens / 64,000 output tokens, $0.75 input / $3.75 output per 1M tokens (introductory rate through 2026-12-31, then $1.50/$7.50); Terminal-Bench 2.1 90.8% (up from 81.6%), DeepSWE v1.1 73.7% (up from 65.3%); ships alongside Gemini 3.8 Flash Cyber, a security variant gated behind the Fairwind Program, scoring 47.2% pass@1 on CWE-Bench and exceeding 70% on a real-world 20-language vulnerability-discovery benchmark

Pricing Watch | Anthropic Cuts Cache Reads 75%, Google's Gemini 3.8 Flash Launches on Promo Pricing

Anthropic released Claude Fable 5.1 on 9/1: base input/output pricing is unchanged at $10/$50 per million tokens, but cache reads dropped from $1.00 to $0.25 (↓75%), saving up to 45% on cache-heavy agentic workloads. Google released Gemini 3.8 Flash on 9/2 at an introductory $0.75/$3.75, good only through 2026-12-31 — standard pricing doubles to $1.50/$7.50 starting 2027-01-01.

Model Card|Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash (gemini-omni-1.1-flash): GA since 2026-08-27, replacing the preview that launched 6/30; closed-source, priced per output second: $0.03 at 360p, $0.10 at 720p (default), $0.15 at 1080p, $0.30 at 4K (1080p/4K are upscaled); ranks #1 on the Artificial Analysis Text-to-Video Arena without audio (1322 Elo) and #2 with audio (1237, trailing Wan3.0's 1241); adds scene extension (10s of context, chainable up to 40s total) and first/last-frame interpolation for camera control

Pricing Watch | Google Isn't Cutting Prices — It's Rebuilding the Bill: Gemini Enterprise Gets Commitment Discounts and Off-Peak Rates

Google Cloud added Flexible Savings Plans for Gemini Enterprise (spend-based monthly commitment, 10% off for 1-year, 20% off for 3-year, no minimum or maximum), a new pay-as-you-go consumption edition, and an upcoming off-peak batch processing option (up to 50% off inference cost), effective 2026-08-26. Unlike OpenAI's GPT-5.6 Sol sticker-price cut, this doesn't touch list prices at all — it's a whole new billing toolkit. Where OpenAI is fighting a price war, Google is fighting a FinOps-governance war.

Antigravity CLI: Google Replaces a 100K-Star Open-Source Tool with a Closed-Source Go Binary

At Google I/O 2026, Antigravity CLI (agy) replaced Apache 2.0 Gemini CLI with a closed-source Go binary. Technical upgrades — multi-agent orchestration, native sandbox, millisecond startup — but free tier cut 98%, open-to-closed source, 28-day transition window. Community reaction was sharp.

Agent Plugins 1.0: OpenAI, Google, and AWS Unite to Standardize AI Agent Extensions

Agent Plugins 1.0 is a packaging format that bundles Agent Skills (markdown instructions) and MCP server configs into a single directory, loadable by ChatGPT, Cursor, GitHub Copilot, Kiro, and VS Code. It's not a new protocol — it's the wrapper above protocols. Vercel initiated it, OpenAI/AWS/Microsoft/Cursor co-authored it, and Google joined on launch day. Anthropic isn't on the governance board, but MCP is a core primitive of the spec.

Model Card | Gemini 3.7 Flash

Gemini 3.7 Flash (API ID: gemini-3.7-flash): 1M input / 64k output context, input $0.75, output $3.75 per 1M tokens (promotional pricing through 2026-12-31, reverting to $1.50 / $7.50 — same as predecessor 3.6 Flash); DeepSWE v1.1 65.3% (prev 48.6%), AutomationBench 30.4% (prev 17.0%), FrontierCode 1.1 43.6%; beats Claude Sonnet 5 and GPT-5.6 Terra on multiple agentic/enterprise automation benchmarks

aideep-dive

A2UI (Agent-to-User Interface): Google's Open Protocol for Agents to Ship UI as Data

A2UI is an agent generative UI protocol open-sourced by Google on 2025-12-15: agents send declarative JSON describing UI intent, and clients render it natively using their own component catalog whitelist, layered on top of A2A. It launched at format v0.8 and iterated to v0.9 within three months.

Antigravity CLI: How Google Folded Gemini CLI Into a Unified Terminal Agent Harness

Antigravity CLI is a terminal agent Google announced at I/O on May 19, 2026. Written in Go (versus Gemini CLI's Node.js), its binary is called agy, and it shares the same agent harness as the desktop Antigravity 2.0. It is also Gemini CLI's successor — the personal-tier Gemini CLI service ends on June 18, 2026.

aiguide

notebooklm-py: An Unofficial Python API for Google NotebookLM

notebooklm-py reverse-engineers Google's batchexecute RPC protocol, letting you programmatically control NotebookLM via Python / CLI / AI Agent — including audio, video, slides, quiz generation and more.

From Stripe to Meta: How Silicon Valley's Top Companies Replace Keyboards with AI Agents

Top Silicon Valley companies are independently building internal AI coding agents that automate everything from a Slack message to a merged PR. This article deep-dives into architectures from Stripe, Ramp, Coinbase, and Spotify — including their 2026 growth numbers (Stripe 7,000+ PRs/week, Ramp 75% of merged PRs) — then expands to cover Google, Meta, Amazon, Uber, Shopify, PostHog, and more.

Google's Terminal Agent Plans: The Free Individual Path Is Gone

The paying paths on Google's side: the individual free tier and Gemini CLI access on Google AI Pro / Ultra ended 2026/6/18, leaving individuals with Antigravity CLI or their own paid API key; enterprise licenses and Google Cloud are unaffected. The zero-cost starting option now belongs to someone else.

Gemini CLI: Once the Most Generous Free Terminal Agent, Now Enterprise-Only

Gemini CLI is Google's open source terminal AI agent (Apache 2.0, ~106.6k stars). It once offered 60 requests per minute and 1,000 per day for free, with a 1M context window. The individual tier stopped serving on 2026/6/18 and Antigravity CLI took over. The project isn't shut down — the repo is still maintained — but it now serves only Gemini Code Assist Standard/Enterprise licenses and paid API keys.

aiguide

Google's Eight Multi-Agent Design Patterns

Google outlined eight multi-agent design patterns: from the simplest Sequential Pipeline to the composable Composite Pattern. More complexity isn't always better — picking the right pattern matters more than stacking agents.