PRICING

Same-day-verified llm api pricing june 2026: Claude Fable 5, GPT-5.5, Gemini 3.1 Pro, and DeepSeek V4 compared per million tokens, plus the three caveats that change the math.

A verified directory of the frontier AI models in June 2026 - Claude Fable 5, GPT-5.5, GPT-5.4, Gemini 3.1 Pro, and DeepSeek V4 - with pricing checked against official docs.

Claude Code parallel agents cost real money because every session draws from one quota - here is the June 2026 budgeting math, verified against live pricing.

Every major AI coding tool just went through a pricing shift. Here are the exact numbers for Cursor, GitHub Copilot, Claude Code, Windsurf/Devin, and the Anthropic API - verified from live pricing pages on June 10, 2026.

Anthropic broke its own naming ladder when it introduced the Mythos class and Claude Fable 5. Here is what the shift means, how to map each tier to a real workload, and what questions it leaves open.

Anthropic gave subscribers two weeks of free Fable 5 access, then it moves to usage credits. Here's what's actually changing, what the real-world burn rates look like, and what to do depending on how you use Claude.

Fable 5 lists at $10/$50 per million tokens - twice Opus 4.8. But list price is the wrong number. Here is the cost-per-outcome math that actually decides whether the upgrade pays.

Anthropic shipped Fable 5 and a June 22 subscription cliff. OpenAI shipped GPT-5.5 inside Codex plus automations, browser use, and computer control. Here is the honest June 2026 update on which tool fits which developer.

GitHub Copilot switched to AI Credits billing on June 1 - here is what the change means for your team's budget, how Copilot Max fits in, and how costs compare to Claude Code and Codex.

10 min read

A practical comparison of LLM routing tools - LiteLLM, Portkey, and OpenRouter - covering cost management, fallbacks, caching, and when to use each for production AI applications.

11 min read

If I were rebuilding my AI coding workflow on May 30, 2026, I would not pick one magic tool. I would pick a layered stack: terminal agent, editor, background agent, Mastra, CopilotKit, MCP, context, security, and cost controls.

7 min read

The models.dev project is trending because AI teams need one boring source of truth for model specs, pricing, context windows, modalities, and tool support.