First Batch of GPT-5.6 Sol Internal Test Results Are In, Same-Task Cost is Only Half That of Fable 5

marsbit發佈於 2026-07-06更新於 2026-07-06

文章摘要

"GPT-5.6 Sol", the preview version of OpenAI's latest model, has released its first batch of internal testing results. According to an Nvidia engineer, Sol achieved CUDA acceleration results in 30 hours that took Opus 64 hours. The model is positioned for high-difficulty reasoning and complex, long-chain tasks like coding. Initial user feedback highlights that Sol produces more concise code—approximately 1/5 the lines of Opus—with a style closer to human-written code, favoring deep optimization over brute-force trial and error. In tests, Sol demonstrated superior performance in instruction following, spatial reasoning, and front-end design consistency compared to GPT-5.5 Pro. When compared to the recently relaunched competitor Fable 5, Sol shows slightly lower overall performance and code quality in some areas. For instance, Fable 5 can generate a playable game from a single prompt faster. However, Sol's key advantage is cost: at $5 per million input tokens and $30 per million output tokens, it is roughly half the price of Fable 5 ($10/$50). Additionally, users report Fable 5's safety restrictions are overly stringent, frequently blocking tasks, whereas Sol's safeguards are reportedly more tailored and less limiting. The model is expected to roll out fully to all users in the coming days.

GPT-5.6 Sol preview has been out for almost two weeks, and the first batch of user internal test reports are finally fresh off the press!

An NVIDIA principal engineer tells you in the most straightforward, no-beating-around-the-bush terms:

Sol is fierce! In just 30 hours, it achieved the CUDA acceleration effect that took Opus 64 hours.

After subsequent version optimizations, it might completely crush Opus......

Netizens haven't been idle either, they've directly started messing around, with all sorts of comparisons (trash-talking) popping up:

Take spaceship building for example. Look at the corridor inside GPT-5.6's ship. The color matching and lighting choices are very sci-fi, with clear contrast between light and dark. In contrast, the 5.5 version has a warmer, grayer tone, and the overall picture feels much flatter. It looks more like a company locker room.

Not to mention the cosmic scenes outside the ship; GPT-5.5 looks like a pixelated party. (doge)

This round goes to GPT-5.6!

As for why GPT-5.6's popularity has exploded again recently, first, its old rival Fable 5 is back, and second, the model is fin!ally! mo!ving!

After waiting for so many days, news has finally emerged that the model will officially launch in the next couple of days.

This time, it won't just be a few "partners" who can use it; everyone gets access!

(The wait-and-see crowd wins~)

Altman also personally joined the fray to show off, pushing the atmosphere to its peak:

The first time my baby said a two-word phrase, it was as mind-blowing as when GPT-5.6 discovered a brand new mathematical theory.

No doubt! Both are his own babies (doge)

First Batch of Internal Test Results Released

Scrolling through posts from internal test users, a few points of consensus are quite consistent.

The first one, mentioned earlier by that NVIDIA engineer: code is more concise, overall code volume is less.

For the same requirement, other models might write a lot, but Sol is clearly much more restrained. It would never write five lines if it can solve it in three. The number of code lines is only 1/5 of Opus's. Especially for C++, the writing style is very similar to hand-written code, and there are fewer comments.

For projects that need long-term maintenance, Sol has the advantage.

Of course, coding isn't flawless either. For example, iterative progress is slower, and there are more failures, because Sol always tries more difficult tasks.

Compared to Opus, it also has fewer trial-and-error exploration ideas. Once it decides on a direction, it sticks to it stubbornly.

Simply put, the model abandons a lot of mindless trial and error, shifting to long-term, deep cultivation. It doesn't pursue superficially pretty output results; its core focus is on optimizing underlying performance.

This aligns well with OpenAI's positioning for Sol—

Aimed at high-difficulty reasoning, complex code, and other long-chain tasks, especially suitable for complex workflows that require planning, iteration, tool calling, and step coordination.

Using the same prompt for Sol and GPT-5.5 Pro, the comparison is also very intuitive:

Whether it's interactive SVG, 3D models, or game generation, Sol's instruction following and spatial reasoning capabilities are superior, and it's better at consistency.

In the area of front-end design, Sol also delivered cleaner, tidier work.

Compared to GPT-5.5, Sol's page layout, hierarchy, and use of whitespace are handled quite well, and the visuals are more refined. Sol passes the visual test with high marks.

Successful Sniping of Fable 5?

But as for the question netizens care about most—how does it compare to Fable 5?

The effect might still be slightly inferior.

On some benchmark tests, Sol scores on par with or even surpasses Fable 5, but there's still a certain gap compared to Fable 5 in overall model experience and code quality.

For example, netizen Gipp conducted a 3D FPS game comparison.

When GPT 5.6 was still struggling to adapt to the game world, lighting, and gameplay, Fable 5 could already turn a prompt into a playable finished game.

However, Fable 5 is much more expensive, at $10 per million input tokens and $50 per million output tokens. Sol's cost is only $5 per million input tokens and $30 per million output tokens.

Sol is almost half the price!

So when model capabilities are similar, it's really hard to say who will win between Sol and Fable 5.

Even more critical are the safety restrictions. Since Fable 5 was sanctioned, after its comeback this time, netizens clearly feel Fable 5 simply isn't working.

Normal coding, debugging—if you're not careful, the system flags it as high-risk, and the task gets downgraded to Opus 4.8 for processing. Even a question like "how many 'r's are in 'raspberry'" gets blocked.

Netizens promptly gave Fable 5 a bad review......

The situation with GPT-5.6 is slightly better. The official team has clearly stated that more powerful safety systems have been added, and different protection strategies will be configured based on different model capabilities. The restrictions will also be somewhat less strict than Fable 5's.

Anyway, let's eagerly await GPT-5.6's full-scale launch. We'll know for sure when we test it ourselves~

Reference Links:

[1]https://x.com/mark_k/status/2073467892889272609?s=20

[2]https://x.com/kimmonismus/status/2073799386535006210

[3]https://x.com/gippp69/status/2073697790723596469

This article is from the WeChat public account "QbitAI", author: Lu Yu

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相關問答

QWhat are the main performance advantages of GPT-5.6 Sol over previous models like Opus, according to the article?

AAccording to the article, GPT-5.6 Sol achieves the same CUDA acceleration performance in 30 hours that took Opus 64 hours. It also produces more concise code, using only about 1/5th the lines of code as Opus for the same task, which is beneficial for long-term project maintenance.

QHow does the cost of GPT-5.6 Sol compare to Fable 5 for the same task?

AThe cost of using GPT-5.6 Sol is roughly half that of Fable 5 for the same task. Specifically, Sol's cost is $5 per million input tokens and $30 per million output tokens, compared to Fable 5's $10 per million input tokens and $50 per million output tokens.

QWhat is the specific positioning and intended use case for GPT-5.6 Sol as described by OpenAI?

AOpenAI positions GPT-5.6 Sol for high-difficulty reasoning, complex coding, and other long-chain tasks. It is particularly suited for complex workflows that require planning, iteration, tool calling, and step coordination.

QWhat are some of the perceived weaknesses or trade-offs of GPT-5.6 Sol mentioned in the user testing reports?

AUser reports mention that GPT-5.6 Sol has a slower iteration speed and more failures during coding tasks because it tends to attempt more difficult challenges. It also employs fewer trial-and-error exploration strategies, preferring to persist deeply in a chosen direction.

QWhat is a key user complaint about Fable 5 mentioned in the article, and how does GPT-5.6 Sol reportedly address a similar issue?

AA key user complaint about Fable 5 is its overly restrictive safety filters, which often block legitimate tasks like coding or debugging. In contrast, the article states that GPT-5.6 Sol has implemented more powerful and nuanced safety systems with smaller restrictions tailored to different model capabilities.

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BarbieCrashBandicootRFK777Inu, $SOLANA 2.0:加密貨幣界的新玩家 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 介紹 在不斷演變的加密貨幣市場中,新興項目不斷吸引著投資者和愛好者的注意。在這些新興項目中,有一個名為BarbieCrashBandicootRFK777Inu,以加密貨幣符號$SOLANA 2.0代表。這個獨特的計劃結合了魅力、冒險和迷因文化的元素,旨在在高度競爭的領域中挑戰預期。這個項目抱有增長和創新的願景,捕捉到一種努力對抗已建立的巨頭的精神。 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 是什麼? 在其核心,BarbieCrashBandicootRFK777Inu是一個受到多種標誌性文化參考啟發的加密貨幣項目。它包括與Barbie相關的優雅和魅力,Crash Bandicoot的動感能量,以及RFK所代表的堅韌驅動,該項目的目標是在加密貨幣的世界中提供多面化的體驗。 BarbieCrashBandicootRFK777Inu項目的主要目標是將這些不同的元素融合成一個吸引廣泛受眾的凝聚生態系統。通過擁抱迷因文化的奇想,同時堅守去中心化和財務賦權的原則,該項目已定位為對於成熟投資者和加密世界的新手都具有吸引力的選擇。 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 的創造者是誰? 儘管對BarbieCrashBandicootRFK777Inu的關注不斷增長,關於其創造者的信息仍然 largely未知。創始人或開發團隊的匿名性引發了對項目結構和治理的疑問。在加密貨幣的世界中,項目沒有公開創始人是很常見的。這一缺乏信息可能會使某些潛在投資者卻步,而其他人則可能將其視為擁抱許多加密貨幣項目所基礎的去中心化精神的機會。 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 的投資者是誰? 目前,關於支持BarbieCrashBandicootRFK777Inu的投資基金或機構的信息相對較少。項目缺乏詳細的投資支持突顯了許多加密貨幣的獨立性。在這種情況下,項目的資金是否來自基層社群的支持或更大金融實體的支持,仍有待觀察。 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 如何運作? BarbieCrashBandicootRFK777Inu設計了多項功能,使其在擁擠的加密空間中獨具一格。雖然具體的技術細節仍然保密,但該項目預計將融入旨在增強用戶參與度和促進社區增長的功能。從時尚和冒險到遊戲的多樣影響力的結合,促進了一種迎合多樣興趣的包容氛圍。 此外,該項目與$SOLANA 2.0生態系統的聯繫暗示著潛在的技術優勢。這可能包括創新的交易速度、可擴展性和成本效益,與Solana區塊鏈的技術能力相一致。項目的創始人似乎正在依靠這一技術基礎,以創建持久的社區體驗和實質性的產品供應。 BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 的時間表 BarbieCrashBandicootRFK777Inu的旅程包含幾個關鍵里程碑,提供了該項目迄今為止的發展見解: 項目概念化:最初的想法圍繞著魅力、冒險和迷因文化的融合,為項目的獨特概念提供了框架。 代幣創建:象徵性的$SOLANA 2.0代幣建立,旨在體現項目的願景並吸引潛在投資者的興趣。 項目開發:目前,該項目正進行進一步開發,重點是挑戰加密空間中的現有玩家並提供創新的產品。 這些里程碑反映了項目的增長軌跡,同時突顯了其致力於開發一個開創性的加密貨幣體驗的承諾。 關於BarbieCrashBandicootRFK777Inu, $SOLANA 2.0 的要點 獨特概念:BarbieCrashBandicootRFK777Inu通過將魅力、冒險和迷因文化的元素融合到一個加密貨幣項目中而脫穎而出。 弱者精神:該項目擁抱弱者的角色,旨在挑戰現有的加密貨幣項目並在行業中開闢一塊市場。 開發階段:正在進行積極的開發工作,旨在提供符合社區和投資者期望的新鮮和創新的產品。 結論 BarbieCrashBandicootRFK777Inu,以符號$SOLANA 2.0呈現,是加密貨幣市場中一個引人入勝的新進者。其獨特的文化參考混合和雄心勃勃的願景,可能引起尋求在加密領域尋找替代項目價值的人的共鳴。 雖然創始人和投資者的未知狀態可能會引發疑問,但該項目對魅力和冒險的重視展現了擴展加密貨幣可能體現的界限的迷人敘事。隨著項目的持續發展,觀察其在更廣泛的加密市場中的演變及其如何在競爭對手中定位自己,將會非常有趣。對於那些參與者來說,BarbieCrashBandicootRFK777Inu可能會解鎖重新定義與數字資產互動的驚喜體驗。 目前,隨著項目的推進,其旅程提醒著我們,加密空間的創新沒有界限,提供了一切從興奮和娛樂到財務賦權的潛力。

181 人學過發佈於 2024.04.05更新於 2024.12.03

什麼是 SOLANA 2.0

如何購買SOL

歡迎來到HTX.com!在這裡,購買Solana (SOL)變得簡單而便捷。跟隨我們的逐步指南,放心開始您的加密貨幣之旅。第一步:創建您的HTX帳戶使用您的 Email、手機號碼在HTX註冊一個免費帳戶。體驗無憂的註冊過程並解鎖所有平台功能。立即註冊第二步:前往買幣頁面,選擇您的支付方式信用卡/金融卡購買:使用您的Visa或Mastercard即時購買Solana (SOL)。餘額購買:使用您HTX帳戶餘額中的資金進行無縫交易。第三方購買:探索諸如Google Pay或Apple Pay等流行支付方式以增加便利性。C2C購買:在HTX平台上直接與其他用戶交易。HTX 場外交易 (OTC) 購買:為大量交易者提供個性化服務和競爭性匯率。第三步:存儲您的Solana (SOL)購買Solana (SOL)後,將其存儲在您的HTX帳戶中。您也可以透過區塊鏈轉帳將其發送到其他地址或者用於交易其他加密貨幣。第四步:交易Solana (SOL)在HTX的現貨市場輕鬆交易Solana (SOL)。前往您的帳戶,選擇交易對,執行交易,並即時監控。HTX為初學者和經驗豐富的交易者提供了友好的用戶體驗。

2.6k 人學過發佈於 2024.12.12更新於 2026.06.02

如何購買SOL

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歡迎來到 HTX 社群。在這裡,您可以了解最新的平台發展動態並獲得專業的市場意見。 以下是用戶對 SOL (SOL)幣價的意見。

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