[KongchangAI]
Model

GPT 6.1

A version of OpenAI's GPT-series large language models, providing message-count estimation and token metering in Codex.

Timeline (last 90 days)

Nov 3

The estimated local message counts within a five-hour cycle for the GPT 6.1, GPT 6 Astra and GPT 6 Luna mentioned in the materials range from single digits to thousands.

Unverified50%
Oct 31

In a pixel art generator comparison test, GPT 6.1's visuals were the most refined, Claude Opus 5.5 followed closely, and Gemini 4 Argon and DeepSeek V4.1 Flash lagged noticeably.

Unverified50%
Oct 27

GPT 6.1 ranked fourth overall in the Code2Video Benchmark, at an average cost of $0.31 per question, about one-tenth of Claude Opus 5.5's cost.

Unverified50%
Oct 20

The uploader believes that claims that DeepSeek V4.1 Flash can challenge GPT 6.1 are somewhat misleading and can easily lead people to over-trust the model.

Unverified50%
Oct 20

One of the community works is a retro game built with GPT 6.1, which the host rated as "cooked just right".

Expired50%
Oct 5

When GPT 6.1 first launched, many users reported slower responses; OpenAI subsequently added server capacity, and Tibo indicated that the speed issue has improved.

Expired50%
Oct 5

OpenAI's Tibo confirmed on X that GPT 6.1 is coming soon and revealed that a '6.1 SO Ultra Fast' version is on the way, but the official launch time and pricing have not yet been announced.

Expired50%
Oct 4

The article acknowledges that a large amount of its content references models not yet publicly released (such as Gemini 4 Argon, GPT 6.1, and Opus 5.5) and speculative naming, representing the author's extrapolated assumptions rather than verified facts.

Unverified50%
Oct 1

In the test, GPT-6.1's final output was rough and riddled with bugs, the character appeared overly blocky, and a clipping bug occurred when the knight used a special attack.

Unverified50%
Oct 1

For complex animations with physical behavior (such as a skeleton collapsing after defeat), Sonnet 5.5's performance approached that of Opus 5.5, while for simple actions (slime movement, bat flight), the gap among the three was not significant.

Unverified50%

2 more timeline events

All Facts (8)

Unverified

The estimated local message counts within a five-hour cycle for the GPT 6.1, GPT 6 Astra and GPT 6 Luna mentioned in the materials range from single digits to thousands.

50%
Unverified

In a pixel art generator comparison test, GPT 6.1's visuals were the most refined, Claude Opus 5.5 followed closely, and Gemini 4 Argon and DeepSeek V4.1 Flash lagged noticeably.

50%
Unverified

GPT 6.1 ranked fourth overall in the Code2Video Benchmark, at an average cost of $0.31 per question, about one-tenth of Claude Opus 5.5's cost.

50%
Unverified

The uploader believes that claims that DeepSeek V4.1 Flash can challenge GPT 6.1 are somewhat misleading and can easily lead people to over-trust the model.

50%
Unverified

The article acknowledges that a large amount of its content references models not yet publicly released (such as Gemini 4 Argon, GPT 6.1, and Opus 5.5) and speculative naming, representing the author's extrapolated assumptions rather than verified facts.

50%
Unverified

In the test, GPT-6.1's final output was rough and riddled with bugs, the character appeared overly blocky, and a clipping bug occurred when the knight used a special attack.

50%
Unverified

For complex animations with physical behavior (such as a skeleton collapsing after defeat), Sonnet 5.5's performance approached that of Opus 5.5, while for simple actions (slime movement, bat flight), the gap among the three was not significant.

50%
Unverified

Opus 5.5 constructs stone wall convex surfaces purely from real geometric meshes, with the bottom dark band colored using vertex colors; GPT-6.1 creates 12 types of stone materials via scripts and assigns them to different geometric surfaces.

50%

Source Articles