Who Wins? Blender MCP: Gemini 4 Argon vs GPT 6 Astra vs Opus 5.5

Summary JC BuenaVentura reviews Google DeepMind’s newly released Gemini 4 Argon, testing its 3D modeling and animation capabilities in Blender via MCP (Model Context Protocol). He compares its performance, generation speed, and API costs directly against OpenAI’s GPT-6 Astra and Anthropic’s Claude Opus 5.5 across two tasks: procedural walking animations for five rigged animals and generating a 3D dragon mesh from reference images.

What is shown

• [00:06] Showcase of five rigged 3D models (snake, elephant, eagle, bat, octopus) created with Meshy AI’s auto-rig tool, paired with multi-angle reference motion clips generated with Seedance 2.5 via Higgsfield.
• [01:21] Gemini 4 Argon prompt in high reasoning mode directing it to animate all five rigged models in Blender.
• [01:25] Review of Gemini 4 Argon’s animation outputs: poor/stiff performance on the snake, solid performance on the elephant, middle-tier results on the eagle and bat, and a cartoonish result on the octopus.
• [02:05] Display of time and resource stats for the animation test (1 hour 39 minutes, ~500,000 tokens, ~$14 API cost).
• [02:18] Side-by-side comparison of prior dragon generation results from Claude Opus 5.5 (Ultracode MCP) and GPT-6 Astra Ultra (Ultrafast mode via ChatGPT Pro).
• [03:25] Timelapse of Gemini 4 Argon assembling and detailing the dragon 3D mesh in Blender.
• [03:56] Display of Gemini 4 Argon dragon generation stats (22 minutes, ~200,000 tokens, ~$1.41 API cost).
• [04:08] Side-by-side mesh comparison between reference artwork, Gemini 4 Argon, GPT-6 Astra, and Claude Opus 5.5.

Claims & numbers

• The presenter states Google released Gemini 4 Argon on the day of recording [00:00].
• Animal animation task: Gemini 4 Argon completed the task in 1 hour 39 minutes, consuming ~500,000 tokens, costing ~$14 via API [02:05].
• Dragon modeling task:
  • Claude Opus 5.5 on Ultracode took ~30 hours to produce its dragon model [03:52].
  • GPT-6 Astra Ultra was run on Ultrafast reasoning mode under the $500/month ChatGPT Pro tier [03:04, 03:20].
  • Gemini 4 Argon completed the dragon mesh in 22 minutes using ~200,000 tokens, costing ~$1.41 (graphic shows $1.33 / $1.41) in API fees [03:57].
• The presenter claims Gemini 4 Argon easily beats OpenAI’s flagship GPT-6 Astra in Blender tasks at a fraction of the price, though Claude Opus 5.5 remains highest in visual quality [03:35, 04:24].

Notable quotes

• [00:00] “Google just dropped Gemini 4 Argon, and today we’re going to be testing how good it works in Blender.”
• [03:35] “In my honest opinion, I think that the one company that has the most to lose from this model release is actually OpenAI.”
• [04:24] “It’s definitely not better than Opus 5.5, but it is cheaper.”

Assessment A hands-on independent review and benchmark video demonstrating real-world Blender MCP integrations. The presenter shows genuine Blender UI captures, full GLB viewport renders, and timelapses of mesh generation across multiple frontier models.

Described by gemini-3.8-flash on 2026-10-14 from the video’s audio and frames.