Claude Opus 5.5 IS THE Greatest AI Model EVER! Cheaper, Fast, & Powerful! (FULLY TESTED)

Summary This video is a review and showcase presented by the YouTube creator behind "World of AI", covering Anthropic's release of Claude Opus 5.5. The presenter examines Anthropic's benchmark announcements, performance metrics on his own benchmarking platform and Artificial Analysis, and demonstrates multiple complex web development, interactive 3D, and game generation outputs produced by the model.

What is shown

• [00:01] Anthropic's announcement posts detailing Claude Opus 5.5's release, pricing, and testing results.
• [01:52] The presenter's platform, "World of AI Bench", showing Claude Opus 5.5 scoring 88.0 and topping the leaderboard over GPT-6 Astra (87.7).
• [02:31] Official benchmark comparisons covering agentic coding (Terminal-Bench 4.0, CursorBench), GDPval, and OSWorld 2.0.
• [03:40] Artificial Analysis intelligence index table displaying Claude Opus 5.5 at the top ranking.
• [05:14] Gameplay footage of "Turbo Kart Rally", an interactive 3D Mario Kart-style browser game generated by Opus 5.5.
• [06:10] A recreation of Claude Opus 5.5's official promo video rendered purely through generated code without external assets.
• [06:48] A procedural animated mosaic animation of a goldfish in a bowl composed of 13,000 tiles generated directly via code.
• [07:26] Side-by-side 3D rendering comparison of a Waymo autonomous vehicle generated in Three.js by Claude Opus 5.5 versus GPT-6 Astra.
• [08:14] An interactive SVG model of a Nintendo Switch generated using Opus 5.5 on max reasoning.
• [09:03] A playable browser-based Minecraft sandbox clone ("Mine") showing custom settings, terrain generation, block mining, and inventory crafting.
• [12:12] Gameplay demo of a Three.js-coded Call of Duty Zombies clone ("Zombies: Kaserne der Toten"), featuring animated zombies, weapon purchases, barricade rebuilding, and sound effects.
• [15:40] A responsive frontend cloud identification guide website titled "Stratus".
• [15:59] Side-by-side 3D diorama web apps comparing Claude Opus 5 ($1.60 generation cost) against Claude Opus 5.5 ($3.40 generation cost).

Claims & numbers

• The presenter and shown Anthropic posts claim Claude Opus 5.5 performs at the level of Claude Fable 5.1 on most tasks while costing 40% less to run and running ~30% faster than Opus 5.
• Opus 5.5 achieved the strongest score to date on Anthropic's alignment tests, evaluated by external groups including METR and Frontier Design.
• In Claude Code, 5-hour session limits increased by 20%, allowing users roughly 25% further usage within limits due to lower pricing.
• On Terminal-Bench 4.0, Opus 5.5 scored 64.4% compared to Fable 5.1 (55.3%) and GPT-6 Astra (53.3%).
• On OSWorld 2.0, Opus 5.5 scored 81.8% compared to Fable 5.1 (80.7%) and GPT-6 Astra (74.0%).
• The presenter notes an early tester used Opus 5.5 to complete a 680,000-line code migration in under one day.
• Standard API pricing for Opus 5.5 is listed at $4.00 per 1M input tokens and $20.00 per 1M output tokens (cache reads $0.20, cache writes $5.00), compared to Opus 5 at $5.00 / $25.00.
• Fast mode is listed at $8.00 per 1M input tokens and $40.00 per 1M output tokens with up to 2.5x speed.
• Generating the animated Nintendo Switch SVG consumed 27% of a 5-hour session limit on a $20 monthly Claude tier.

Notable quotes

• [00:12] "It's a major step up from Opus 5, especially in agentic coding, computer use, and knowledge work..."
• [03:57] "It costs less per token and uses fewer tokens per task, resulting in roughly 40% lower token cost than Opus 5."
• [07:44] "...the level of detail and overall execution shows this release is the real deal in comparison to the Astra."

Assessment This video is a third-party creator review and capability showcase of Anthropic's newly released Claude Opus 5.5 model. The video features authentic user interaction with web-based games, 3D applications, and vector code generated by the model, though the presenter highlights notable compute overhead and high token consumption during reasoning tasks.

Described by gemini-3.8-flash on 2026-09-29 from the video's audio and frames.