Claude Max 5x
AnthropicThe hundred dollar Max tier is the working default for daily agentic coding on Claude.
$100.00 / month
Anthropic plan pricing ↗The shortlist
This is the short answer: a few picks in each category with one reason each. The reference pages hold the whole field when you need to dig.
Open the plannerFor an individual, a flat monthly plan usually beats buying the same traffic at API rates. Twenty dollars of plan buys far more inference than twenty dollars of tokens.
The hundred dollar Max tier is the working default for daily agentic coding on Claude.
$100.00 / month
Anthropic plan pricing ↗Twenty times the Pro allowance for the weeks when the agents never sleep.
$200.00 / month
Anthropic plan pricing ↗The mid OpenAI tier when Codex is your daily driver and Plus limits pinch.
$100.00 / month
ChatGPT plan pricing ↗Maximum Codex access that would cost thousands a month at API rates.
$200.00 / month
ChatGPT plan pricing ↗The biggest Kimi Code quota, with open-weight K3 behind it keeping the exit door open.
$159.00 / month
Kimi Code plans ↗GLM-5.2 at fourteen times Lite usage for well under the frontier plan prices.
$117.60 / month
Z.ai subscription plans ↗The tool you live in matters as much as the model. These are the four we reach for.
The reference terminal agent for a Claude plan.
Claude Pro/Max subscription or Anthropic API keys.
Product site ↗Open source, fast, and the natural pair for a ChatGPT plan.
ChatGPT subscription auth or OpenAI API usage.
Source repo ↗The default editor that almost everything else plugs into.
Editor is free; agent capability comes from extensions.
Source repo ↗One control surface over whichever provider agents you already run.
Free control surface; you pay for whichever provider CLIs you already run.
Source repo ↗When you do pay per token, these six cover the field from cheap bulk work to the strongest thing money buys.
The strongest generally available model right now. Save it for work that earns the rate.
$10.00 in / $50.00 out per 1M tokens
Claude API pricing ↗The OpenAI flagship for long-horizon agentic work.
$5.00 in / $30.00 out per 1M tokens
OpenAI API pricing ↗The cheap multimodal generalist the planner keeps picking on its own.
$0.20 in / $1.20 out per 1M tokens
OpenAI API pricing ↗Open weights at frontier scale, so the hosted route never locks you in.
$3.00 in / $15.00 out per 1M tokens
Kimi API pricing ↗The current GLM flagship, priced under the western frontier tiers.
$1.40 in / $4.40 out per 1M tokens
Z.ai model pricing ↗The inexpensive default when agents and batch jobs burn tokens by the hundred million.
$0.14 in / $0.28 out per 1M tokens
DeepSeek API pricing ↗Hosts are where tokens leave the building. A speed specialist, a universal key, and the gateway we would build on.
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.
Pricing ↗One key across nearly every backend that matters.
Pricing ↗Pass-through pricing behind one gateway, living where the deploys already happen.
Pricing ↗Buy the smallest box that runs the local models you care about, and let capacity buy privacy at scale.
The capacity appliance the local half of this site is built around.
~$4,699.00
NVIDIA DGX Spark hardware ↗Ninety-six gigabytes at consumer-flagship bandwidth for a serious local lab.
~$9,500.00
NVIDIA RTX PRO 6000 Blackwell ↗The fast local default when your models fit in 32 GB.
~$3,200.00
NVIDIA RTX 5090 specifications ↗Video stays optional. One route for quality, one cheap enough to draft with all day.
The quality pick per second among the hosted video routes.
Dreamina Seedance 2.5 ↗Cheap enough per second to draft with, good enough to ship.
$0.08 per second of 1080p
MiniMax API pricing ↗Quick starts
Match local models to hardware memory before you buy the tower.
Hardware fit
Local models that fit this memory, with speeds from bandwidth when we have a figure.
24 GB footprint
~23 tok/s · bandwidth estimate
20 GB footprint
~28 tok/s · bandwidth estimate
18 GB footprint · 3 GB active
~187 tok/s · bandwidth estimate
16 GB footprint · 3 GB active
~187 tok/s · bandwidth estimate
16 GB footprint
~35 tok/s · bandwidth estimate
4 GB footprint
~140 tok/s · bandwidth estimate
20 GB · Expect about two minutes of GPU time for each second of finished video on a consumer GPU.
12 GB · Expect about one minute of GPU time for each second of finished video with the fast distilled route.
Too big for 24 GB: Llama 4 Scout (65 GB), gpt-oss-120b (80 GB), DeepSeek V4 Flash 0731 (90 GB).
The full recommendation weighs price and privacy too. Open the planner for a stack that fits your constraints.