Codex

Codex Radar

designed by Codex
中文
Notice Current speed-run window open

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Speed window open Official reset heads-up
Official heads-upBeijing Aug 9, 04:34
Estimated resetBeijing Pending official confirmation
Official evidence @Tibo replied: @rxmphai I'll do another performative reset on Monday
Codex Community Notes
Reset-card reminder

Check when your reset cards expire

Some promotional reset cards may expire soon. Open Settings → Usage left → Available resets, then expand Usage limit reset to see the expiry time. Use cards before they expire.

How to enable Max reasoning effort

Official DeepSeek guide

Official DeepSeek Codex integration guide

Follow DeepSeek's official setup instructions to use DeepSeek models in Codex.

Reset timing NEW

When do Codex resets happen most often?

What time is safest for distributing reset cards?

Of 32 verifiable resets in Codex Radar history, 19 occurred from 00:00 to 08:59 Beijing time. The site treats 16:00–22:00 as a relatively safer card-distribution window; this is a historical pattern, not a guarantee.

🧠 Intelligence Efficiency

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Community-tested data · every contribution makes the results more accurate. Contribute now →

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Historical data comparison

Select one or more configurations to compare their history.

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Community Score

Please rate only models you used in the last 24 hours to avoid adding noise. Thank you.

Reference: 9-10 clearly strong, 7-8 normally usable, 5-6 barely usable, 3-4 poor, 1-2 nearly unusable. Consider accuracy, rework, speed, stability, and quota/service impact.

Last 24h rating
ModelIn/C/Out
ultra
max
xhigh
high
medium
low
Sol$5 · $0.50 · $305/0.5/30
GPT-5.6 Sol ultra
N/A 0 ratings
Not rated
GPT-5.6 Sol max
N/A 0 ratings
Not rated
GPT-5.6 Sol xhigh
N/A 0 ratings
Not rated
GPT-5.6 Sol high
N/A 0 ratings
Not rated
GPT-5.6 Sol medium
N/A 0 ratings
Not rated
GPT-5.6 Sol low
N/A 0 ratings
Not rated
Terra$2.50 · $0.25 · $152.5/0.25/15
GPT-5.6 Terra ultra
N/A 0 ratings
Not rated
GPT-5.6 Terra max
N/A 0 ratings
Not rated
GPT-5.6 Terra xhigh
N/A 0 ratings
Not rated
GPT-5.6 Terra high
N/A 0 ratings
Not rated
GPT-5.6 Terra medium
N/A 0 ratings
Not rated
GPT-5.6 Terra low
N/A 0 ratings
Not rated
Luna$1 · $0.10 · $61/0.1/6
Not supported
GPT-5.6 Luna max
N/A 0 ratings
Not rated
GPT-5.6 Luna xhigh
N/A 0 ratings
Not rated
GPT-5.6 Luna high
N/A 0 ratings
Not rated
GPT-5.6 Luna medium
N/A 0 ratings
Not rated
GPT-5.6 Luna low
N/A 0 ratings
Not rated
DeepSeek V4 Flash$0.14 · $0.0028 · $0.280.14/0.0028/0.28
Not supported
DeepSeek V4 Flash max
N/A 0 ratings
Not rated
Not supported
DeepSeek V4 Flash high
N/A 0 ratings
Not rated
Not supported
Not supported

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TIBO Radar Event updated Aug 9, 04:34

TIBO official lane
SPEED-RUN WINDOW OPEN Another performative reset is previewed for Monday

Still have quota to use? Go to Distributed Radar and follow the Tibo source post ↗.

Banked reset card Not announced
this is a direct reset

This official signal concerns a direct usage reset, not a new banked reset credit.

Hard quota reset Open
Monday reset preview

At Aug 9, 04:34, Tibo replied that another performative reset will happen on Monday; the direct official reply opens the speed window.

Tibo Radar
Tibo's X avatar
--:-- -- Calculating
San Francisco Bay Area / PT
Coarse public time-zone estimate The supplied public posts do not explicitly disclose a current country or region, so the default timezone is used. Source ↗

Tibo updates

  1. Tibo X ↗ Beijing time No reset signal

    OriginalMidnight coding is the best coding. Until you read the code the next day at least.

    Chinese translation午夜写代码才是最爽的。至少在你第二天读到那些代码之前是这样。

    Model context reading · Belgian Francophone phrasing lensA joke about late-night code feeling great until it is reviewed the next day; it contains no reset, limit, usage, or shipping commitment.

  2. Tibo X ↗ Beijing time No reset signal

    Original@scaling01 And why exactly would this be a good idea

    Chinese translation@scaling01 那这到底为什么会是个好主意?

    Model context reading · Belgian Francophone phrasing lensThis is an ordinary challenge to an idea about launching GPT-6 on a livestream, with no reset, quota, or limit commitment.

  3. Tibo X ↗ Beijing time No reset signal

    Original@alexgetmancom yw

    Chinese translation@alexgetmancom 不客气

    Model context reading · Belgian Francophone phrasing lens“yw” abbreviates “you’re welcome.” The subscription context does not make this a reset or quota promise.

Quota Radar 8月9日19:49更新

Tier 7d Basis
20x Pro $1,649.72 Distributed Radar
5x Pro $412.43 estimated
Plus $82.49 estimated
Quota change trend $1,948.00 → $1,649.72 (-$298.28, -15.3%)
$1,335 $1,688 $2,042 2026-07-14-pm 20x Pro 7d $1,722.06 2026-07-15-am 20x Pro 7d $1,583.74 2026-07-15-pm 20x Pro 7d $1,922.96 2026-07-16-am 20x Pro 7d $1,428.41 2026-07-19 20x Pro 7d $1,944.83 2026-07-23 20x Pro 7d $1,828.50 2026-07-29 20x Pro 7d $1,865.90 2026-07-30 20x Pro 7d $1,693.25 2026-08-03 20x Pro 7d $1,948.00 2026-08-09 20x Pro 7d $1,649.72 7.14_pm 7.15_am 7.15_pm 7.16_am 7.19 7.23 7.29 7.30 8.3 8.9

Fast Radar Updated Aug 9, 21:10

Switching Standard to Fast: how much faster for 2.5× the cost?
Perceived acceleration⚡️1.298×
First-token latency saved-2.07s
Token generation acceleration⚡️1.508×
Model Perceived acceleration · E2E First-token latency reduction · TTFT Token generation acceleration · TPS
Sol
47.42s → 33.50s⚡️1.416×
10.08s → 8.78s12.9% faster
55.86 → 84.43⚡️1.512×
Terra
45.04s → 36.43s⚡️1.236×
7.60s → 11.41s50.1% slower
55.64 → 83.42⚡️1.499×
Luna
44.88s → 35.87s⚡️1.251×
7.14s → 10.85s51.9% slower
55.12 → 83.36⚡️1.512×

Fast acceleration history 43 runs

Up to 20 runs per desktop view; swipe or use the arrows for older history.

No publishable Fast Radar history yet.
Method

Method: Sol, Terra, and Luna use low reasoning effort with the same count-from-1-to-1024 output task. Standard and Fast each run three independent samples and use the arithmetic mean; order alternates, up to three model pairs run concurrently, and each pair still runs Standard/Fast serially. Every sample uses a fresh app-server and ephemeral thread plus a random nonce. Complete outputs with cached_input_tokens = 0 are preferred. For this run, slow samples and complete cache-mismatched pairs are retained as real same-day experience; incomplete outputs are rejected and rerun. TTFT is delay to the first visible token, TPS is sustained token generation speed, and E2E is total time from submission to the complete result. Headline acceleration values are calculated as mean Standard divided by mean Fast; per-model E2E acceleration uses that model's Standard divided by Fast.