On July 29, 2026, after upgrading VS Code from 1.129.1 to 1.130.0, the previously loading, gray screen, and white screen Codex panel returned to normal.
This part of the process has been recorded in the previous article:
After confirming that Codex was restored, I updated the Codex extension to:
26.721.41059
After the update completed, a Fast mode prompt appeared in Codex:
Based on your work last week across 8 chats,
Fast could have saved about 57 minutes.
Increases plan usage.
The first half is easy to understand:
Based on my actual workload across 8 chats last week, using Fast could have saved about 57 minutes.
What really raised my doubts was the last sentence:
Increases plan usage.
1. Google Translate made me misunderstand it completely at first
I initially used Google Translate, and the resulting Chinese was roughly:
Based on the 8 conversations you had last week, Fast could have saved you about 57 minutes. This helps improve plan utilization.
The problem lies in the phrase “improve plan utilization“.
In Chinese, it is easy to interpret this as:
Fast can improve the utilization efficiency of the plan quota, allowing the same quota to accomplish more work.
In other words, I briefly suspected:
Could it be that Fast is not only faster, but actually makes the Codex plan quota deplete more slowly?
But the original text actually just says:
Increases plan usage.
Here, usage refers to usage amount, not usage efficiency.
Therefore, a more natural Chinese translation would be:
Increases plan usage.
Or more directly:
Depletes the plan quota faster.
However, explaining the English semantics alone is not enough.
I still wanted to confirm this conclusion from the official OpenAI documentation.
2. Official OpenAI documentation clearly states: Fast increases credit consumption
OpenAI’s current official Codex Speed documentation describes Fast mode very clearly:
Codex can increase model execution speed by raising credit consumption.
The official documentation further explains that Fast mode increases the execution speed of supported models to 1.5 times that of Standard, while consuming credits at a higher rate than Standard.
As of the time I am writing this article, the official listed multipliers are:
GPT-5.6 Fast: Speed 1.5x, credit consumption rate 2.5x
GPT-5.5 Fast: Speed 1.5x, credit consumption rate 2.5x
GPT-5.4 Fast: Speed 1.5x, credit consumption rate 2x
Therefore, the following text in the popup:
Increases plan usage.
does not mean that Fast can improve the utilization efficiency of the plan.
What it actually means is:
After enabling Fast, Codex will run faster, but it will also consume the credits associated with the plan at a higher rate. (OpenAI Developers)
OpenAI’s Codex Rate Card also confirms this again:
Fast mode consumes credits at a higher rate.
The official documentation also mentions that tasks with larger output volumes and Fast mode typically consume more credits. (OpenAI Help Center)
Therefore, the conclusion here is already quite clear:
Fast is essentially trading more quota for less waiting time.
Official Speed documentation:
OpenAI Codex Speed documentation
3. 57 minutes saved across 8 chats last week
One thing I found interesting about this Fast prompt is that it did not just show a generic speed multiplier.
Instead, it made an estimate based on my actual usage history:
8 chats last week
↓
If Fast is used
↓
Estimated savings of about 57 minutes
On average, this is approximately:
57 ÷ 8 ≈ 7.1 minutes / chat
Of course, this is just an estimate based on last week’s actual tasks.
Different Codex tasks vary greatly in terms of code volume, context, testing time, and reasoning complexity, so this cannot be understood as a fixed 7-minute savings for every chat in the future.
But compared to simply seeing “1.5x”, this number is much more intuitive to me.
Because what really needs to be judged is:
Is it worth trading more Codex quota for these 57 minutes?
4. When is Fast more valuable?
If I am continuously performing the following operations with Codex:
Modify code
↓
Run tests
↓
View results
↓
Continue modifying
↓
Test again
And I am sitting in front of the computer waiting for the next round of results, then Codex being faster can directly improve my work efficiency.
For example:
- Continuously performing multiple rounds of modifications and testing;
- Approaching deployment or release;
- Currently solving a problem and hoping to close the loop as soon as possible;
- Current time is more important than plan quota.
In these situations, I would be willing to enable Fast.
But if I assign the following to Codex:
Analyze the entire repository
Batch modify files
Execute full tests
Handle long-running tasks
And then go do other things, a task finishing a few minutes earlier might not have a significant impact on my actual work efficiency.
In this case, Standard might be more appropriate.
5. I ultimately chose Standard speed as the default
For my current way of using Codex, I will not keep Fast enabled by default.
My preference leans toward:
Standard
↓
Daily default use
When I am in a hurry:
Fast
↓
Temporarily enable
Because enabling Fast does not make the model “smarter”.
OpenAI’s official title for this feature is simply:
Increase speed without sacrificing intelligence
That is, increasing speed without sacrificing the model’s intelligence capabilities. (OpenAI Developers)
So what I need to weigh is not:
Standard: High quality
Fast: Low quality
But simply:
Waiting time
vs
Plan quota
This actually makes the choice very simple.
6. Fast and Codex-Spark are not the same thing either
There is another point of confusion here.
Fast mode does not automatically switch to a less capable, faster model.
The official documentation clearly distinguishes between Fast mode and GPT-5.3-Codex-Spark.
Fast mode is:
Running supported models at a faster speed, while increasing the credit consumption rate.
Whereas Codex-Spark is an independent model, positioned for near-real-time rapid coding iterations, and has its own usage limits. (OpenAI Developers)
Therefore:
Fast mode
does not equal:
Automatically switching to Codex-Spark
The two need to be understood separately.
7. Summary
After updating the Codex extension to 26.721.41059 this time, I saw Fast mode estimate based on my historical usage for the first time:
8 chats last week
Fast estimated to save about 57 minutes
But the following text within it:
Increases plan usage.
After being translated by Google Translate as “improve plan utilization”, it is easy to misunderstand it as Fast being able to improve the utilization efficiency of the plan quota.
In fact, according to OpenAI’s official Codex Speed and Rate Card documentation:
Fast increases the model execution speed, but it also increases the credit consumption rate. (OpenAI Developers)
So for me, the most accurate understanding of Fast is actually just one sentence:
Trading more Codex quota for shorter waiting times.
Therefore, I will still keep Standard as my default choice for now.
I will only enable Fast when I encounter tasks that require continuous modifications, testing, and immediately waiting for results.
This way, I can get the speed advantage when needed, without forcing all daily Codex tasks to remain in a higher quota consumption state indefinitely.