dataTier stringclasses 5
values | dataTierNote stringlengths 26 212 ⌀ | disclosure stringclasses 6
values | id stringlengths 7 29 | meter stringclasses 6
values | modelCount int64 0 88 | modelRows listlengths 0 88 | modelStats dict | name stringlengths 7 39 | notes stringlengths 75 632 ⌀ | notesDe stringlengths 86 676 ⌀ | officialConversion stringclasses 12
values | price dict | priceNote null | priceNoteDe null | priceNoteSource null | provider stringlengths 3 12 | quotas listlengths 0 3 | sourceIds listlengths 1 3 | tag stringclasses 7
values | tagDe stringclasses 7
values | verifiedAt timestamp[s]date 2026-08-28 00:00:00 2026-10-02 00:00:00 | windowCaps dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | Official per-model monthly limit in USD from the feed; 5h/weekly windows are the documented shares of it (20 % / 50 %) | disclosed | opencode-go | dollar_usage | 37 | [
{
"allowance": 60,
"costPerRequest": 0.0019,
"creditsPerRequest": null,
"derivedTokensPerMonth": 1774736842.1052632,
"estimate": null,
"family": "glm-5.3 flash",
"model": "GLM-5.3-Flash",
"normalizedPer1": 3157.8947368421,
"patternUsed": {
"cachedRead": 55000,
"input"... | {
"count": 37,
"max": 226586.1027190333,
"mean": 37995.4856825505,
"median": 16254.8764629389,
"min": 422.5352112676,
"p25": 4968.3269159111,
"p75": 32509.7529258778
} | OpenCode Go | null | null | null | {
"advertised": 10,
"altPrice": null,
"billingNote": "beta",
"currency": "USD",
"monthlyCny": null,
"monthlyUsd": 10,
"paidPrice": 10,
"waitlist": null,
"yearlyUsd": null
} | null | null | null | opencode | [
{
"amount": 12,
"disclosure": "exact",
"label": "5h window",
"refresh": "rolling",
"unit": "usd",
"window": "5h"
},
{
"amount": 30,
"disclosure": "exact",
"label": "Weekly",
"refresh": "weekly",
"unit": "usd",
"window": "week"
},
{
"amount": 60,
"discl... | [
"ocgo-pricing"
] | null | null | 2026-09-28T00:00:00 | {
"h5": 12,
"monthly": 60,
"weekly": 30
} |
A | Official per-model monthly limit in USD from the feed; 5h/weekly windows are the documented shares of it (20 % / 50 %) | disclosed | opencode-go-plus | dollar_usage | 37 | [
{
"allowance": 180,
"costPerRequest": 0.0019,
"creditsPerRequest": null,
"derivedTokensPerMonth": 5324210526.315789,
"estimate": null,
"family": "glm-5.3 flash",
"model": "GLM-5.3-Flash",
"normalizedPer1": 2368.4210526316,
"patternUsed": {
"cachedRead": 55000,
"input"... | {
"count": 37,
"max": 453172.2054380665,
"mean": 97789.8129892499,
"median": 63570.5456471835,
"min": 1690.1408450704,
"p25": 14904.9807477332,
"p75": 130039.0117035111
} | OpenCode Go Plus | null | null | null | {
"advertised": 40,
"altPrice": null,
"billingNote": "beta",
"currency": "USD",
"monthlyCny": null,
"monthlyUsd": 40,
"paidPrice": 40,
"waitlist": null,
"yearlyUsd": null
} | null | null | null | opencode | [
{
"amount": 48,
"disclosure": "exact",
"label": "5h window",
"refresh": "rolling",
"unit": "usd",
"window": "5h"
},
{
"amount": 120,
"disclosure": "exact",
"label": "Weekly",
"refresh": "weekly",
"unit": "usd",
"window": "week"
},
{
"amount": 240,
"dis... | [
"ocgo-pricing"
] | null | null | 2026-09-28T00:00:00 | {
"h5": 48,
"monthly": 240,
"weekly": 120
} |
B | Official total 9,000 req/mo as anchor | disclosed | command-code-go | credits | 88 | [
{
"allowance": 2.8571428571,
"costPerRequest": 0.004433015,
"creditsPerRequest": null,
"derivedTokensPerMonth": 46807872.29458957,
"estimate": null,
"family": "tencent hy4",
"model": "Tencent Hy4 Preview",
"normalizedPer1": 596.7727710154,
"patternUsed": {
"cachedRead": 715... | {
"count": 88,
"max": 85034.0136054422,
"mean": 3124.2252147277,
"median": 503.9602501865,
"min": 42.0168067227,
"p25": 189.2911761952,
"p75": 2851.075831528
} | Command Code Go | No API access: the $1 Go credits can only be spent in the Command Code CLI, so this plan cannot be used from your own harness or agent. Every other Command Code plan includes API access. The price includes the card processing fee (rate measured on the GOAT tier, 7.8 %). | Kein API-Zugang: Die Credits des 1-$-Plans lassen sich nur in der Command-Code-CLI ausgeben, der Plan ist damit nicht in einem eigenen Harness oder Agenten nutzbar. Alle anderen Command-Code-Plaene haben API-Zugang. Der Preis enthaelt die Gebuehr fuer Kartenzahlung (Satz am GOAT-Tarif gemessen, 7,8 %). | Official requestEstimate: 9,000 req/mo | {
"advertised": 1,
"altPrice": null,
"billingNote": "list $1.00 + $0.08 card processing fee",
"currency": "USD",
"monthlyCny": null,
"monthlyUsd": 1.08,
"paidPrice": 1.08,
"waitlist": null,
"yearlyUsd": null
} | null | null | null | command-code | [
{
"amount": 2,
"disclosure": "exact",
"label": "5h window",
"refresh": "rolling",
"unit": "credits",
"window": "5h"
},
{
"amount": 5,
"disclosure": "exact",
"label": "Weekly",
"refresh": "weekly",
"unit": "credits",
"window": "week"
},
{
"amount": 10,
... | [
"cc-pricing"
] | CLI only | nur CLI | 2026-08-28T00:00:00 | {
"h5": 2,
"monthly": 10,
"weekly": 5
} |
A | Official per-model allowances from feed | disclosed | command-code-goat | credits | 88 | [
{
"allowance": 20,
"costPerRequest": 0.004433015,
"creditsPerRequest": null,
"derivedTokensPerMonth": 327655106.06212705,
"estimate": null,
"family": "tencent hy4",
"model": "Tencent Hy4 Preview",
"normalizedPer1": 418.5159692835,
"patternUsed": {
"cachedRead": 71500,
... | {
"count": 88,
"max": 595238.0952380953,
"mean": 21869.5765030937,
"median": 3527.7217513052,
"min": 294.1176470588,
"p25": 1325.0382333664,
"p75": 19957.5308206957
} | Command Code GOAT | The price is what was actually charged: $10.78 on 2026-10-02, so $0.78 card processing fee on the $10 tier. Command Code adds that fee to every plan and shows the exact rate only at checkout, so the same measured rate (7.8 %) applies to the other Command Code tiers. | Der Preis ist der tatsaechlich abgebuchte Betrag: 10,78 $ am 02.10.2026, also 0,78 $ Gebuehr fuer Kartenzahlung auf den 10-$-Tarif. Command Code schlaegt diese Gebuehr auf jeden Plan und zeigt den genauen Satz erst im Checkout, deshalb liegt derselbe gemessene Satz (7,8 %) den uebrigen Command-Code-Tarifen zugrunde. | Official requestEstimate: 75,000 req/mo | {
"advertised": 10,
"altPrice": null,
"billingNote": "paid $10.78 = list $10.00 + $0.78 card processing fee (measured 2026-10-02)",
"currency": "USD",
"monthlyCny": null,
"monthlyUsd": 10.78,
"paidPrice": 10.78,
"waitlist": null,
"yearlyUsd": null
} | null | null | null | command-code | [
{
"amount": 14,
"disclosure": "exact",
"label": "5h window",
"refresh": "rolling",
"unit": "credits",
"window": "5h"
},
{
"amount": 35,
"disclosure": "exact",
"label": "Weekly",
"refresh": "weekly",
"unit": "credits",
"window": "week"
},
{
"amount": 70,
... | [
"cc-pricing"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 14,
"monthly": 70,
"weekly": 35
} |
A | Official per-model allowances from feed | disclosed | command-code-pro | credits | 88 | [
{
"allowance": 30,
"costPerRequest": 0.004433015,
"creditsPerRequest": null,
"derivedTokensPerMonth": 491482659.0931906,
"estimate": null,
"family": "tencent hy4",
"model": "Tencent Hy4 Preview",
"normalizedPer1": 313.8869769626,
"patternUsed": {
"cachedRead": 71500,
... | {
"count": 88,
"max": 892857.142857143,
"mean": 29969.9219476547,
"median": 5035.6795754189,
"min": 294.1176470588,
"p25": 1690.1408450704,
"p75": 27206.1131083809
} | Command Code Pro | null | null | Official requestEstimate: 100,000 req/mo | {
"advertised": 20,
"altPrice": null,
"billingNote": "list $20.00 + $1.56 card processing fee",
"currency": "USD",
"monthlyCny": null,
"monthlyUsd": 21.56,
"paidPrice": 21.56,
"waitlist": null,
"yearlyUsd": null
} | null | null | null | command-code | [
{
"amount": 16,
"disclosure": "exact",
"label": "5h window",
"refresh": "rolling",
"unit": "credits",
"window": "5h"
},
{
"amount": 40,
"disclosure": "exact",
"label": "Weekly",
"refresh": "weekly",
"unit": "credits",
"window": "week"
},
{
"amount": 80,
... | [
"cc-pricing"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 16,
"monthly": 80,
"weekly": 40
} |
B | Official total 230,000 req/mo as anchor | disclosed | command-code-max10 | credits | 88 | [{"allowance":42.8571428571,"costPerRequest":0.004433015,"creditsPerRequest":null,"derivedTokensPerM(...TRUNCATED) | {"count":88,"max":1275510.2040816327,"mean":46863.3782209151,"median":7559.4037527969,"min":630.2521(...TRUNCATED) | Command Code Max 10× | null | null | Official requestEstimate: 230,000 req/mo | {"advertised":100.0,"altPrice":null,"billingNote":"list $100.00 + $7.80 card processing fee","curren(...TRUNCATED) | null | null | null | command-code | [{"amount":45,"disclosure":"exact","label":"5h window","refresh":"rolling","unit":"credits","window"(...TRUNCATED) | [
"cc-pricing"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 45,
"monthly": 150,
"weekly": 90
} |
B | Official total 370,000 req/mo as anchor | disclosed | command-code-max20 | credits | 88 | [{"allowance":85.7142857143,"costPerRequest":0.004433015,"creditsPerRequest":null,"derivedTokensPerM(...TRUNCATED) | {"count":88,"max":2551020.4081632653,"mean":93726.7564418302,"median":15118.8075055938,"min":1260.50(...TRUNCATED) | Command Code Max 20× | null | null | Official requestEstimate: 370,000 req/mo | {"advertised":200.0,"altPrice":null,"billingNote":"list $200.00 + $15.60 card processing fee","curre(...TRUNCATED) | null | null | null | command-code | [{"amount":90,"disclosure":"exact","label":"5h window","refresh":"rolling","unit":"credits","window"(...TRUNCATED) | [
"cc-pricing"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 90,
"monthly": 300,
"weekly": 180
} |
A | Official quotas (5h/weekly credits) from GLM docs | disclosed | glm-lite | credits | 2 | [{"allowance":10000.0,"costPerRequest":0.00174,"creditsPerRequest":10.52,"derivedTokensPerMonth":217(...TRUNCATED) | {"count":2,"max":12478.386167147,"mean":8297.177874448,"median":8297.177874448,"min":4115.969581749,(...TRUNCATED) | GLM Coding Plan Lite | null | null | null | {"advertised":16.5,"altPrice":null,"billingNote":"¥118/月 连续包月; 包季 8折 ¥94.4, 包年(...TRUNCATED) | null | null | null | zhipu | [{"amount":2000,"disclosure":"exact","label":"5h rolling","refresh":"rolling","unit":"credits","wind(...TRUNCATED) | [
"glm-coding-overview",
"overrides"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 2000,
"monthly": null,
"weekly": 10000
} |
A | Official quotas (5h/weekly credits) from GLM docs | disclosed | glm-pro | credits | 2 | [{"allowance":60000.0,"costPerRequest":0.00174,"creditsPerRequest":10.52,"derivedTokensPerMonth":130(...TRUNCATED) | {"count":2,"max":74870.3170028818,"mean":49783.0672466881,"median":49783.0672466881,"min":24695.8174(...TRUNCATED) | GLM Coding Plan Pro | null | null | null | {"advertised":75.0,"altPrice":null,"billingNote":"¥538/月 连续包月; 包季 8折 ¥430.4, 包(...TRUNCATED) | null | null | null | zhipu | [{"amount":12000,"disclosure":"exact","label":"5h rolling","refresh":"rolling","unit":"credits","win(...TRUNCATED) | [
"glm-coding-overview",
"overrides"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 12000,
"monthly": null,
"weekly": 60000
} |
A | Official quotas (5h/weekly credits) from GLM docs | disclosed | glm-max | credits | 2 | [{"allowance":140000.0,"costPerRequest":0.00174,"creditsPerRequest":10.52,"derivedTokensPerMonth":30(...TRUNCATED) | {"count":2,"max":174697.4063400576,"mean":116160.4902422722,"median":116160.4902422722,"min":57623.5(...TRUNCATED) | GLM Coding Plan Max | null | null | null | {"advertised":151.0,"altPrice":null,"billingNote":"¥1078/月 连续包月; 包季 8折 ¥862.4, 包(...TRUNCATED) | null | null | null | zhipu | [{"amount":28000,"disclosure":"exact","label":"5h rolling","refresh":"rolling","unit":"credits","win(...TRUNCATED) | [
"glm-coding-overview",
"overrides"
] | null | null | 2026-08-28T00:00:00 | {
"h5": 28000,
"monthly": null,
"weekly": 140000
} |
End of preview. Expand in Data Studio
AI coding plan prices (tokens and requests per dollar)
What the flat rate AI coding subscriptions cost, and what you actually get for the money: published quotas, per model spending caps, included models, and the resulting tokens and requests per dollar paid. This is the dataset behind vibeplan.cc.
Snapshot of this revision: 2026-10-03 09:11 UTC, 80 plans from 26 providers, 53 of them directly comparable, built from 30 official sources. Disclosure split: 51 disclosed, 21 reference, 4 partial, 2 reported, 1 undisclosed, 1 measured.
Files
plans.jsonl- one plan per line, the fields described below (this is the file to load).latest.json- the complete dataset exactly as the website loads it, including the comparison tables, the AI score snapshot, the FX rates and the changelog.
Columns in plans.jsonl
id,name,provider- plan identity.price- effective monthly price in US dollars, fees included, plus the billing period.meter,quotas,windowCaps- the plan's own published limits (messages, tokens, requests, hours) and how they reset.modelRows,modelStats- per model rates and the per model spending caps a plan applies.disclosure- how well the plan documents its limits:disclosed,partial,reported,reference(kept for context, not comparable) orundisclosed.dataTier- A/B/M/C/D quality tier of the source situation behind that plan.sourceIds,verifiedAt- where each figure came from and when it was last checked.notes,priceNote- the plain language caveats that belong to that row.
Rates are normalised to tokens per US dollar and requests per US dollar of the price actually paid, at a target comparison price of 1 USD.
Loading
from datasets import load_dataset
ds = load_dataset("harrytyp/ai-coding-plan-prices", split="train")
ds[0]
How it is built
Rebuilt every day from around 30 official sources (provider pricing pages, docs, plan pages) by the pipeline in the source repository. The build never guesses a number: where a provider does not publish a quota, the field stays empty and the plan is marked as not comparable instead of being estimated. Prices include card and processing fees, so the figure is what you actually pay.
Limits, stated plainly
- Only plans that publish a hard recurring limit are comparable, 53 of 80 at this snapshot. Providers with vague or unpublished caps stay out of the rankings on purpose.
referencerows are documented plans that cannot be ranked (for example because nothing is published about the included amount).- API prices per token are a different question and are not part of this dataset.
- Promotional pricing exists (first month discounts, annual billing). The dataset keeps the effective monthly price and the billing period rather than hiding it in a single number.
License and citation
MIT, same as the site. Numbers change daily, so cite with a link to https://vibeplan.cc/ rather than copying figures. Corrections and source suggestions: issues.
- Downloads last month
- 119