~ same prompt, different LLM — every model gets the same brief in Blender, you judge the render ~
OpenAI / GPT 6 Astra / thinking:max has entered the arena NEW!
ARCHIVEDRetired from the leaderboard and voting — prompt v2 — superseded by v3 · 2026-07-20. Preserved here for reference only.
Render Window — hero
hero render
camera + framing set up by the AI contestant
3D Viewport — robotic-arm User Persp
LOADING 3D VIEW
$0.03Cost
139sDuration
20Tool calls
21Turns
Blender 5.1.0MCP 1.22026-07-15
Tokens: 198202/3470Vision: Votes W-L-T: 0-0-0DONE ✓
B-BENCH — TRANSCRIPT Google / Gemini 3.1 Flash Lite · r1 · 2026-07-15
RUN LOG — robotic-arm · Google / Gemini 3.1 Flash Lite · r1 · ok
SYSTEM PROMPTthe control — every model on this task got these instructions
PROMPTblender-bench v7HARNESSraw-v2
SHOW FULL PROMPT · 2016 chars
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.
--TASK robotic-arm: ## Task Complete the following Blender task: <task> A desk-mounted robotic arm with at least four articulated joints, posed mid-reach toward a small object on the desk — but not an industrial catalog part. This arm is generatively designed: its metal frame has the parametric, "AI-optimized" look of topology-optimized engineering — organic load-bearing branches, smooth bone-like transitions, lat…
32:14>>search_sketchfab_models({"query":"robotic arm topology optimized"})
32:14<<Error searching Sketchfab models: Communication error with Blender: Unknown command type: search_sketchfab_models
32:16>>get_scene_info({"user_prompt":"I am starting to create the scene for the robotic arm. I want to check available tools first."})
32:16<<{ "name": "Scene", "object_count": 0, "objects": [], "materials_count": 2 }
32:18>>get_hyper3d_status({"user_prompt":"Checking if Hyper3D Rodin is available."})
32:18<<Hyper3D Rodin integration is currently disabled. To enable it: 1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden) 2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox 3. Restart the connection to Claude
32:21>>get_hunyuan3d_status({"user_prompt":"Checking if Hunyuan3D is available."})
32:21<<Hunyuan3D integration is currently disabled. To enable it: 1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden) 2. Check the 'Use Tencent Hunyuan 3D model generation' checkbox 3. Restart the connection to Claude
32:23>>execute_blender_code({"user_prompt":"Created a simple desk platform.","code":"import bpy\n\ndef create_base_desk():\n bpy.ops.mesh.primitive_plane_add(size=2, location=(0, 0, 0))\n desk = bpy.context.active_object\n desk.scale = (1.5, 1, 0.05)\n bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n \n # Simple leg\n bpy.ops.mesh.primitive_cube_add(size=1, location=(1, 0, -0.…)
32:23<<Code executed successfully:
32:27>>execute_blender_code({"code":"import bpy\nimport math\n\ndef create_arm_joint(name, location, rotation):\n # Base cylinder for joint\n bpy.ops.mesh.primitive_cylinder_add(radius=0.1, depth=0.2, location=location, rotation=rotation)\n joint = bpy.context.active_object\n joint.name = name\n return joint\n\n# A simplified articulated arm structure\n# Base, Joint 1, Segment 1, Joint 2, Segment 2, Joint 3, S…)
32:27<<Code executed successfully:
32:30>>execute_blender_code({"user_prompt":"Refining the robotic arm segments and adding materials. Added a target object.","code":"import bpy\nimport math\n\ndef add_material(obj, color, name):\n mat = bpy.data.materials.new(name=name)\n mat.use_nodes = True\n nodes = mat.node_tree.nodes\n nodes[\"Principled BSDF\"].inputs[0].default_value = color\n obj.data.materials.append(mat)\n\n# Assign basic materials\n…)
32:30<<Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key "Subsurf" not found'
32:33>>execute_blender_code({"user_prompt":"Fixing the modifier application and material assignment.","code":"import bpy\n\n# Apply subsurf modifier correctly\nfor obj in bpy.data.objects:\n if \"Cylinder\" in obj.name or \"Cone\" in obj.name:\n bpy.context.view_layer.objects.active = obj\n mod = obj.modifiers.new(name=\"MainSubsurf\", type='SUBSURF')\n mod.levels = 2\n \n# Fix the material ass…)
32:34<<Code executed successfully:
32:36>>execute_blender_code({"user_prompt":"Setting up lighting and camera to frame the robotic arm.","code":"import bpy\n\n# Set up lighting\nbpy.ops.object.light_add(type='AREA', location=(0, 2, 2))\narea = bpy.context.active_object\narea.data.energy = 100\narea.data.size = 2\n\n# Set up camera\nbpy.ops.object.camera_add(location=(2, -2, 1.5), rotation=(math.radians(60), 0, math.radians(45)))\nbpy.context.scene.camera = bp…)
32:36<<Error executing code: Communication error with Blender: Code execution error: name 'math' is not defined
32:39>>execute_blender_code({"user_prompt":"Setting up lighting and camera again with math imported.","code":"import bpy\nimport math\n\n# Set up lighting\nbpy.ops.object.light_add(type='AREA', location=(0, 2, 2))\narea = bpy.context.active_object\narea.data.energy = 500\narea.data.size = 2\n\n# Set up camera\nbpy.ops.object.camera_add(location=(1.5, -1.5, 1.2), rotation=(math.radians(65), 0, math.radians(45)))\nbpy.context.…)
32:39<<Code executed successfully:
32:41>>get_viewport_screenshot({"user_prompt":"Checking the scene composition."})
32:42<<
32:42imgimage delivered — get_viewport_screenshot
32:48ai>ull
32:48>>execute_blender_code({"code":"import bpy\n\n# Select the camera and adjust it to be closer\ncamera = bpy.data.objects.get(\"Camera\")\nif camera:\n camera.location = (0.5, -0.6, 0.4)\n camera.rotation_euler = (1.3, 0, 0.5)\n\n# Add a floor plane for better scale\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, -0.6))\n","user_prompt":"Adjusting camera position for a better view and adding a floor for c…)
32:48<<Code executed successfully:
32:54>>get_viewport_screenshot({"user_prompt":"Checking the scene composition after camera adjustment."})
32:55<<
32:55imgimage delivered — get_viewport_screenshot
33:02>>execute_blender_code({"code":"import bpy\n\n# Scale up the robotic arm to be more visible\narm_collection = [obj for obj in bpy.data.objects if obj.name in [\"Joint1\", \"Joint2\", \"Joint3\", \"Joint4\", \"Cylinder\", \"Cylinder.001\", \"Cylinder.002\", \"Cone\"]]\n\n# Scale the components\nfor obj in arm_collection:\n obj.scale = (2, 2, 2)\n\n# Also adjust the desk and target\ndesk = bpy.data.objects.get(\"Plane\…)
33:02<<Code executed successfully:
33:07>>get_viewport_screenshot({"user_prompt":"Checking the scene after scaling."})
33:08<<
33:08imgimage delivered — get_viewport_screenshot
33:15>>execute_blender_code({"code":"import bpy\n\n# Add a simple metallic material for the arm structure\ndef create_metal():\n mat = bpy.data.materials.new(name=\"RobotMetal\")\n mat.use_nodes = True\n nodes = mat.node_tree.nodes\n bsdf = nodes[\"Principled BSDF\"]\n bsdf.inputs['Metallic'].default_value = 1.0\n bsdf.inputs['Base Color'].default_value = (0.2, 0.2, 0.2, 1.0)\n bsdf.inputs['Roughness'].d…)
33:15<<Code executed successfully:
33:20>>get_viewport_screenshot({"user_prompt":"Visual check of the materials."})
33:21<<
33:21imgimage delivered — get_viewport_screenshot
33:29>>execute_blender_code({"code":"import bpy\n\n# Set up a more dramatic lighting setup\n# Remove existing lights\nbpy.ops.object.select_all(action='DESELECT')\nfor obj in bpy.data.objects:\n if obj.type == 'LIGHT':\n obj.select_set(True)\nbpy.ops.object.delete()\n\n# Create key, fill and rim lights\n# Key light\nbpy.ops.object.light_add(type='AREA', location=(2, 2, 3))\nkey = bpy.context.active_object\nkey.data…)
33:29<<Code executed successfully:
33:35>>get_viewport_screenshot({"user_prompt":"Final check after lighting update."})
33:36<<
33:36imgimage delivered — get_viewport_screenshot
33:47ai>nade
33:47>>execute_blender_code({"user_prompt":"Adding final touches to camera and cleaning up object names.","code":"import bpy\n\n# Add a slight DOF to the camera for a more professional look\ncamera = bpy.data.objects.get(\"Camera\")\nif camera:\n camera.data.dof.use_dof = True\n camera.data.dof.focus_object = bpy.data.objects.get(\"Icosphere\")\n camera.data.dof.aperture_fstop = 2.8\n\n# Final sanity check: rename t…)
33:47<<Code executed successfully:
33:55ai>DONE
33:55--status: ok · DONE declared
>
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Votes cast on this bench: 000482 · 157 runs · 25 contestants
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