Best AI for Blender & 3D: Opus 5.5 vs GPT-6 vs Gemini 4

A rainy night street with a clock tower and a speeding stainless-steel sports car, built procedurally in Blender by Claude Opus 5.5

Tools used in this article

Claude Code

Codex CLI Gemini 4

Kimi K3.1 Pro Higgsfield

Blender

Unity

Which AI model is best for Blender and 3D right now? For most work, Claude Opus 5.5. It won my complete-game test against GPT-6.1, Gemini 4 and Meta’s Muse, and it beat Gemini 4 and Kimi K3.1 Pro on nearly every Blender task. GPT-6 Astra is the pick for detailed procedural cars and ships, and it builds them faster or cheaper. Gemini 4 Argon is the budget option, often at a tenth of the price per task. None of them can UV unwrap a model yet.

This page collects seven of my comparison videos from August to November 2026: more than 40 tests where every model got the same prompt, the same tools and maximum effort. Below is the winner for each kind of 3D job, the head-to-head results, and what each run cost. Costs are what the same tokens would cost through the API; I ran most tests on subscriptions. I update this page when a new model lands.

The whole answer in one line

Games, animation and VFX → Opus 5.5 · procedural cars, ships and buildings → GPT-6 Astra · single props on a budget → Gemini 4 Argon · open weights → Kimi K3.1 Pro · UV unwrapping → none of them, use a dedicated UV tool. Whatever you pick, connect it to Blender through MCP, not computer use.

The newest test: four models build Fortnite in Unity

Props, map and a full game, with every result and every bill on screen.

1. The best AI model for each 3D job

One model does not win everything, so here is the answer per job. “Runner-up” is the model I would reach for if the pick is too expensive or not available to you.

Job	Pick	Runner-up	Why
A complete game in Unity	Claude Opus 5.5	Gemini 4 Argon	The only build that played like the brief; also the fastest of the four (24 h of agent time)
Creature and character animation	Claude Opus 5.5	GPT-6 Astra	Same rig quality, but clearly better jump and attack cycles, in 46 minutes against 63
VFX and shaders	Claude Opus 5.5	GPT-6 Astra	The magic circle, the leaf swirl and the camera work were a level above
Procedural hard-surface: cars, ships	GPT-6 Astra	Claude Opus 5.5	More detail on the Cadillac and the galleon; the galleon at about half the cost
Rigging a creature	GPT-6 Astra or Opus 5.5	-	Both build a control rig with IK; GPT-6 Astra did it without being asked
Single props on a budget	Gemini 4 Argon	GPT-6.1 Sol	Best single props in the Fortnite test, often a tenth of the Opus price; very slow
Open weights you can run yourself	Kimi K3.1 Pro	DeepSeek 4.1	Roughly Gemini 4 level in my tests, and it beat Gemini on several of them
UV unwrapping	None of them	-	Opus 5.5 and GPT-6 Astra both failed: tiny islands, half the UV space wasted

A note on names, because they get confusing. GPT-6 Astra is OpenAI’s frontier model. GPT-6.1 Sol is the cheaper everyday tier that lost the Fortnite test; its result says nothing about Astra. Opus 5.5 is Anthropic’s second tier under Fable, and in 3D it trades blows with GPT-6 Astra anyway.

2. Claude Opus 5.5 vs GPT-6 Astra in Blender

These two are the closest contest. I gave both the same ten tasks at maximum effort, each in its own harness (Claude Code and Codex CLI), with full Blender access through MCP and permission to call 2D and 3D generation APIs through the Higgsfield plugin. Most of the time they chose to build everything procedurally anyway.

Test	Winner	Time and cost
Movie street scene with a DeLorean	Opus 5.5	About 1.5 h and about $25 each; Opus added the fire trails
Notre-Dame, fully procedural	Tie	GPT-6 Astra took 42 minutes, Opus 5.5 took 96
Cadillac Eldorado, procedural	GPT-6 Astra	More detail and better lights; same time, similar cost
Pirate galleon, procedural	GPT-6 Astra	About 1 h each; GPT-6 Astra at roughly half the cost
VFX set in Three.js	Opus 5.5	About 30 minutes each, few tokens
UV unwrapping four assets	Both failed	About 20 minutes and $10 each
Creature walk, jump and attack	Opus 5.5	46 minutes against 63
Lego humanoid animation	Opus 5.5, narrowly	Neither was as playful as I hoped
Castle with fireworks and a timelapse	Split	GPT-6 built the more detailed castle; Opus had the better motion
One-prompt HTML game	Opus 5.5	Far more fun to play, at almost three times the time and cost

The score: Opus 5.5 five, GPT-6 Astra two, and three tests that were a tie, a split or a shared failure. GPT-6 Astra wins when the object can be described with math: symmetrical hulls, chrome trim, repeating windows. Opus 5.5 wins when the result has to move or feel good, which is most of game work.

Same prompt, no 3D generator: GPT-6 Astra (left) added more trim and better lights than Opus 5.5 (right). Hard-surface is where Astra leads.

Opus 5.5's VFX set runs in real time in the browser. Both models spent about 30 minutes; the magic circle and the leaf swirl decided it for Opus.

Creature animation on the same rig: the walk was close, but Opus 5.5's jump and attack were clearly better, and it finished in 46 minutes against 63.

GPT-6 Astra on its own is still the model that made me rethink 3D work in September. Against Fable 5.1 it rigged my quadruped with clean weights and added a control rig with inverse kinematics that I never asked for. It rebuilt a whole town from one reference image, procedurally, in about an hour, at around 70K faces. It built a car from blueprints with an assembly animation and wrote a working Blender add-on in one prompt. More than ten of those tests used about 7% of my weekly limit on the top ChatGPT plan.

GPT-6 Astra rebuilt this town from a single reference image with no 3D generator: primitives first, then detail, lights and renders, in about an hour.

GPT-6 Astra rigged and animated this creature and added a control rig with IK unprompted. Fable 5.1's version on the same task was stiffer.

Opus 5.5 earned its place by rerunning tests that the best models struggled with a year ago. Two rounds of the famous donut test took 100 minutes and about $21, and the round with a reference image came out almost identical to it. A keyboard animation took 111 minutes and $23, an island assembled from 13 generated Tripo models took 62 minutes and about $20 plus $5.50 in generations, and a playable football game took 23 minutes. I played that one for 20 minutes and barely hit a bug.

Reference on the left, Opus 5.5 on the right: the donut, the sprinkles, the plate and the cup, rebuilt in Blender in one session.

Max effort changes the result

Every test above ran at maximum effort: Opus 5.5 on max in Claude Code, GPT-6 Astra on xhigh in Codex CLI. When Opus spent three times longer on the HTML game, it built one I wanted to keep playing. Short runs save money and show you a weaker model than the one you are paying for.

3. Gemini 4 Argon: the budget pick, with limits

Google promised a lot for Gemini 4 in 3D, and the official benchmarks put it above GPT-6 Astra and Opus 5.5 on most of them. In my seven head-to-head tests against Opus 5.5 it lost six on quality, and the seventh went its way only because Opus misread my prompt. It also cost 4 to 14 times less every time: $2 against $15 for the sea dragon, $1.50 against $21.35 for a realistic Minecraft clone.

Glass villa from two blueprints: both placed everything correctly, Opus looked better, Gemini cost a quarter as much.
Sea dragon rig and animation: Gemini failed outright, even with access to a 3D generator. Opus generated the body and leaves and connected them properly.
Aquarium wallpaper, incense VFX, Rocket League and Minecraft clones: Opus every time, at roughly 7 to 14 times the price.
Game menu scene: Gemini delivered a working page in 30 minutes for $2; Opus misread my prompt and built a Blender file instead.

Same sea dragon brief. Concept on the left; Gemini 4 Argon (middle) turned it into flat pink cut-out leaves with only a few rough animations; Opus 5.5 (right) kept the look and connected every leaf, for about $15 against Gemini's $2.

Then the Fortnite test flipped part of that picture. Building props one at a time, Gemini 4 made the best individual models of all four and finished second overall, with the best hit feedback and the best destruction. Speed is the price: it worked on the props for nearly 14 hours, while Opus finished the same set in about 4.

Access is the bigger problem

Gemini 4 Argon needs the Google AI Ultra plan (from $100 a month) through the Antigravity CLI, where “high” is the top effort level. Antigravity itself was unstable: my overnight runs crashed four or five times with an “unauthenticated” error. Gemini 4 also tends to stop long tasks halfway. I would not buy Ultra just for 3D. You can also reach it through Higgsfield or the API.

4. A complete game: Opus 5.5 vs GPT-6.1 vs Gemini 4 vs Muse

A whole game is where models fall apart. I asked four models to rebuild Fortnite in Unity in three stages: a set of props, the map, then the full game. Same prompts, Blender plus the Unity CLI as tools, Mixamo for characters and animation, and no 2D or 3D generators so that the models had to do the work themselves. Follow-up prompts were allowed; the whole test took three days.

Stage one, one prop at a time: Gemini 4 Argon's props were the strongest, Muse Wander's the simplest. Opus 5.5 was the fastest.

Stage two, the map: Opus 5.5 got the colors, the grass and the coastline right in about 2.5 hours for about $30. Muse put trees under water.

Stage three, the game: Opus 5.5's build had working building, a shrinking storm, bots, swimming and weapon effects. I won my first match.

Rank	Model	Props	Map	Game	Agent time	Tokens	API cost
1	Claude Opus 5.5	2nd	1st	1st	23 h 59 m	778.9M	$282.29
2	Gemini 4 Argon	1st	2nd	2nd	39 h 33 m	302.7M	$132.59
3	Meta Muse Wander	4th	4th	3rd	about 30 h	about 183M	$191.71
4	GPT-6.1 Sol	2nd	3rd	4th	41 h 50 m	280.7M	$93.82

Opus 5.5 was the most expensive and also the fastest: 778.9 million tokens and $282 in under 24 hours of agent time. GPT-6.1 Sol was the cheapest at $94, but it ran the longest and its game felt wooden across the board: a frozen rifle, no pickup feedback, a missile for a bullet. Muse Wander looked the plainest but played better than Sol, and the AI that compiled my reports agreed.

5. Open-weight models: Kimi K3.1 Pro and DeepSeek 4.1

Open source is back in 3D. By Moonshot’s own numbers, Kimi K3.1 Pro sits second on Terminal Bench right after Opus 5.5, so I ran it and DeepSeek 4.1 Flash against Gemini 4 and Opus 5.5 on nine tests. I ran both open models inside the Claude Code harness: in their own harnesses (Kimi Code, for example) they are cheaper but lazier, because Claude Code pushes the model to iterate.

Kimi K3.1 Pro's explorable White House: rooms you can open up, some floating geometry. Gemini 4 was no better, Opus 5.5 clearly was.

Opus 5.5 still won most tests: the Apollo landing, the explorable White House, the Kawasaki H2 assembly and the breaching whale.
Kimi K3.1 Pro landed near Gemini 4, and beat it on the car-to-robot transformation. It took the hard way on the origami crane and finished second, and its tiny-planets game had the cleanest controls of all four.
DeepSeek 4.1 cost almost nothing and built a surprisingly good pinball game; Gemini 4’s ball got stuck every time.
The price caveat: through the Kimi API, cache reads ($0.20 per million tokens) pushed my test costs close to Opus 5.5. Through Kimi Code or on your own hardware it is far cheaper; per token it is about 5 times cheaper than GPT-6 Astra.

DeepSeek has released its weights, and Moonshot said Kimi K3 weights would land on Hugging Face in early November. In an earlier August round, Grok came out ahead of the open-weight GLM 5.3 and Qwen 3.8 Max. GLM 5.3 was good but its API kept failing at max effort, and Qwen 3.8 Max failed the most. If you need to keep work on your own servers, GLM 5.3 and Kimi K3.1 are the ones to try.

6. The setup matters as much as the model

Every result on this page depends on how the model reaches Blender. Before you blame a model, check these three things.

MCP, not computer use. With computer use, GPT-6 Astra needed 10 minutes just to save a file. An MCP server (the official Blender MCP or the free Higgsfield Blender plugin) lets the model call Blender directly and see the scene.
The model’s own CLI at max effort. Claude Code for Opus, Codex CLI for GPT-6, the Antigravity CLI for Gemini. Chat windows cannot run your scene.
3D generators when quality matters. I banned them in the Fortnite test to measure the models; for production work, letting the agent call Tripo P2 or Hi3D gives far better assets than primitives.

I run all of this from my free workspace, Mr Mak Workspace on GitHub, which now supports Claude Code, Codex and Antigravity side by side. The full install guides are in the GPT-6 Astra setup and the Claude + Blender setup.

7. Where every model still fails

Opus 5.5's UV unwrap of a cape: dozens of tiny islands and half the UV square empty. GPT-6 Astra did worse. About 20 minutes and $10 each, wasted.

Do not hand these jobs to a general model yet

UV unwrapping: both frontier models failed on every asset, so use a dedicated UV tool or AI unwrapping built into a 3D generator. Characters from primitives: generate the mesh with a 3D model generator instead. Long autonomous runs: Gemini 4 stops halfway and GPT-6.1 Sol needs nudging. Game feel: even Opus 5.5 shipped a tiny-planets game with inverted controls and a pinball ball that drifted off the table. Play every build before you trust it.

Which 3D generator should the agent call? Check the Arena

This page ranks the language models that drive Blender. The meshes they import come from 3D generators, and that ranking changes monthly. The TOP 3D AI Arena runs blind, community-voted comparisons of every major generator; see who leads today on the leaderboard before your agent spends credits.

What it costs and how long it takes

One Blender scene

20 minutes to 2 hours per test at max effort

API price per scene

$10 to $50; Gemini 4 often under $3 for the same task

A full Unity game

24 to 42 hours of agent time, $94 to $282 at API prices

On a subscription

10+ GPT-6 Astra tests used about 7% of a weekly top-plan limit

In June, Opus 4.8 and GPT-5 still struggled to place ready-made objects with the right rotation. Today Opus 5.5 and GPT-6 Astra build full scenes, rig creatures and ship playable games, and the gap between them is down to taste and budget. My default is Opus 5.5 for anything that moves and GPT-6 Astra for anything with chrome on it. I keep Gemini 4 for cheap batches of props and watch Kimi for the day open weights catch up.

Every test, on YouTube

Nov 7, 2026 Fortnite in Unity: Opus 5.5 vs GPT-6.1 vs Gemini 4 vs Muse
Oct 25, 2026 Kimi K3.1 Pro vs DeepSeek 4.1 vs Gemini 4 vs Opus 5.5
Oct 15, 2026 Gemini 4 Argon vs Opus 5.5 in 3D and Blender
Sep 27, 2026 Opus 5.5 reruns my Blender tests from a year ago
Sep 24, 2026 Claude Opus 5.5 vs GPT-6 Astra: 10 Blender tests
Sep 7, 2026 GPT-6 Astra in Blender (vs Fable 5.1)
Aug 26, 2026 GLM 5.3, Qwen 3.8 Max and Grok on 3D tasks

Last updated November 9, 2026. Next on the list: Gemini 4 Carbon and Muse Wonderful, once I get access.

Frequently asked questions

What is the best AI model for Blender right now?

Claude Opus 5.5 for most 3D work as of November 2026. It won the full Unity game test against GPT-6.1 Sol, Gemini 4 Argon and Meta Muse Wander, and it beat Gemini 4 and Kimi K3.1 Pro on almost every Blender task. GPT-6 Astra is the better pick for detailed procedural hard-surface models such as cars and ships, and it builds them faster or cheaper. No model can UV unwrap yet.

Is GPT-6 Astra or Claude Opus 5.5 better for 3D?

Across ten identical Blender tests at maximum effort, Opus 5.5 won five (the movie scene, VFX, creature animation, Lego animation and the HTML game), GPT-6 Astra won two (the Cadillac and the pirate galleon), and the rest were a tie, a split or a shared failure (UV unwrapping). GPT-6 Astra is often faster and cheaper; Opus 5.5 is stronger on animation, effects and anything that has to feel good to play.

Is Gemini 4 good for Blender and 3D?

For single props, yes: Gemini 4 Argon made the best individual props in the Fortnite test and finished second overall. It is also 4 to 14 times cheaper than Opus 5.5 on the same task. It is weak at long autonomous tasks, it failed creature animation, and direct access needs the Google AI Ultra plan (from $100 a month) through the Antigravity CLI, where only the high effort level exists.

Can open-weight models like Kimi K3.1 Pro work in Blender?

Yes. Kimi K3.1 Pro landed at roughly the Gemini 4 level in my tests and beat it on several, including the car-to-robot transformation and the cleanest game controls. DeepSeek 4.1 is the cheapest option and built a surprisingly good pinball game. Run either one inside the Claude Code harness for more thorough work, or in its own harness for lower cost. Running them locally needs a lot of GPU memory.

How much does it cost to make a Blender scene or a game with these models?

A single Blender test usually ran 20 minutes to 2 hours and $10 to $50 at API prices. A complete Fortnite-style Unity game took 24 to 42 hours of agent time and $94 (GPT-6.1 Sol) to $282 (Opus 5.5). On subscriptions it is cheaper: more than ten GPT-6 Astra tests used about 7% of a weekly limit on the top ChatGPT plan.