GPT-6.1 Sol vs. Claude Sonnet 5.5: 3D Generation & Gaming Performance Assessment

Clip title: GPT-6.1 Sol Is HERE – Can THIS Beat Claude Opus 5.5? Author / channel: Bijan Bowen URL: https://www.youtube.com/watch?v=WxuGIqpkfdc

Summary

The video provides a comprehensive review and series of practical tests for OpenAI’s newly released GPT-6.1 Sol model, evaluating its capabilities and performance against its predecessor, GPT-6 Sol, and direct competitor, Claude Sonnet 5.5. Introduced as offering “Near-Astra intelligence for a fifth of the price” of OpenAI’s premium Astra model, GPT-6.1 Sol is positioned as a cost-effective alternative. Its pricing structure, at 10 per million output tokens, directly challenges Claude Sonnet 5.5, which shares a similar cost. The model boasts a 1 million token context window, an April 30, 2026 knowledge cutoff, and supports both text and image inputs. Initial benchmarking on DeepSWE v1.1 indicates a decent improvement in capabilities over GPT-6 Sol, particularly in higher reasoning tasks.

A significant portion of the video is dedicated to practical tests, primarily focusing on 3D generation and gaming scenarios. For instance, in the “Backyard Pool Party” and “3D Skateboard” tests, GPT-6.1 Sol generated functional games quickly, but their visual fidelity and character models were generally simpler and less impressive when compared to the highly detailed and aesthetically superior results previously achieved by Claude Sonnet 5.5. The model also created a “Browser OS” with several apps and two 3D games, showcasing its speed and functionality despite minor visual glitches. In the “3D Subway FPS” game, the model produced a competent and visually clean environment with realistic reflections and animated trains. The replication of “Jerry’s Apartment” from Seinfeld demonstrated impressive detail in individual elements and lighting controls, though the overall layout was not perfectly accurate to the show. The “Runescape 2007 Grand Exchange PVP” test achieved pixel-perfect UI replication for item icons but struggled with realistic player models and camera zoom.

Beyond visual tasks, the reviewer also explored GPT-6.1 Sol’s ability to interact with physical systems. In a robotic arm test, where the model was tasked with controlling an arm to move a toy car, it displayed more nuanced and less destructive movements compared to Sonnet’s attempt but ultimately “gave up” after about 18 minutes. The reviewer noted this decision to cease operation as a respectable demonstration of self-awareness. Another ambitious test involved attempting to install Linux on an old Pentium 3 laptop via a USB and then Ethernet connection, with a camera feeding real-time visual information to the model. While GPT-6.1 Sol successfully identified hardware and navigated BIOS, it couldn’t complete the full OS installation without manual intervention.

In conclusion, GPT-6.1 Sol proved to be notably token-efficient, consuming only 3% of the reviewer’s weekly usage limit across all extensive tests. While competent and cost-effective, the model, in the visual and 3D generation tasks tested, did not consistently achieve the “mind-bending” visual impressiveness that Claude Sonnet 5.5 demonstrated, especially given their direct price competition. The reviewer speculates that GPT-6.1 Sol’s strengths might lie in other, non-visual domains, such as optimizing for edge devices or lower-level software tasks, which he plans to investigate further. Overall, the model offers a capable and affordable solution, but for visually rich 3D applications, it didn’t quite deliver the wow factor of its immediate competitor.

Description

00:00 - Intro 00:48 - First Look 02:04 - Technical Look 03:27 - Pool Party Test 04:43 - Browser OS Test 09:46 - Pool Party Second Test 13:19 - C++ Skate Test 15:49 - Honest Thoughts 16:55 - C++ Improvement Test 19:02 - Robot Arm Test 20:39 - Subway FPS Test 24:04 - Jerry’s Apartment Test 28:21 - RuneScape 2007 Test 32:04 - Saab 900 Model Test 34:53 - Partial Laptop Repair Test 37:17 - Usage & Closing Thoughts

In this video, we take a hands-on look at GPT-6.1 Sol, testing whether OpenAI’s latest update is actually a meaningful improvement over GPT-6.

We put the model through a range of coding, reasoning, creative, and real-world tasks, including browser-based workflows, C++ game development, robot arm control, FPS generation, Jerry’s Apartment, RuneScape 2007, 3D vehicle modeling, and a laptop repair task.