If you read one page, read this one.

The hundred dollar Max tier is the working default for daily agentic coding on Claude.

$100.00 / month

Twenty times the Pro allowance for the weeks when the agents never sleep.

$200.00 / month

Maximum Codex tasks that would cost thousands a month at API rates, and the top OpenAI tier still open to new subscribers.

$100.00 / month

The biggest Kimi Code quota, with open-weight K3 behind it keeping the exit door open.

$159.00 / month

GLM-5.3 at fourteen times Lite usage for well under the frontier plan prices.

$117.60 / month

The reference terminal agent for a Claude plan.

Included in every paid Claude plan (Pro $20/month, Max from $100/month, Team, Enterprise), or pay per token with Claude API, Bedrock, Google Cloud, or Microsoft Foundry credentials.

Open source, fast, and the natural pair for a ChatGPT plan.

Included with ChatGPT Plus, Pro, Business, Edu, and Enterprise sign-in, or billed per token with an OpenAI API key.

The default editor that almost everything else plugs into.

Editor is free; built-in chat works with your own provider keys or local models, or with a GitHub Copilot plan.

One control surface over whichever provider agents you already run.

Free control surface; you pay for whichever provider CLIs you already run.

The top of the independent index right now, at less than half the price of Claude Fable 5.1. Start here for work that has to be right.

$4.00 in / $20.00 out per 1M tokens

OpenAI’s middle tier: about 90% of GPT-6 Astra’s index score at a fifth of the price.

$2.00 in / $10.00 out per 1M tokens

The cheap multimodal generalist the planner keeps picking on its own, at ten cents per million input tokens. In our own evals its predecessor, GPT-5.6 Luna, matched GPT-5.6 Sol on the hardest question class.

$0.10 in / $0.50 out per 1M tokens

Open weights at frontier scale, so the hosted route never locks you in.

$3.00 in / $15.00 out per 1M tokens

The current GLM flagship, priced under the western frontier tiers.

$1.40 in / $4.40 out per 1M tokens

The inexpensive default when agents and batch jobs burn tokens by the hundred million.

$0.30 in / $1.20 out per 1M tokens

The speed play: open models served faster than anyone else runs them.

Positions on wafer-scale chips for very high tokens-per-second on supported models.

One key across nearly every backend that matters.

Pass-through pricing behind one gateway, living where the deploys already happen.

The capacity appliance the local half of this site is built around.

~$5,000.00

Ninety-six gigabytes at consumer-flagship bandwidth for a serious local lab.

~$20,000.00

The fast local default when your models fit in 32 GB.

~$8,000.00

The quality pick per second among the hosted video routes.

$0.57 per second of 1080p

Cheap enough per second to draft with, good enough to ship.

$0.08 per second of 1080p