AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

BlenderWorld

Can an agent turn a brief and visual references into a reusable Blender project? BlenderWorld checks the delivered scene as well as its rendered appearance.

The 223-task benchmark and publisher runs in the October 14, 2026 paper v1. Main-table values were checked against the official leaderboard on October 25, 2026.

What the agent creates

Agents deliver editable Blender projects and requested media across nine creative domains. The 223 tasks comprise 78 text, 130 image and 15 video tasks; 59 also include specification attachments. The task suite has 2,651 binary rubric criteria.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D · BlenderWorld · Official benchmark and leaderboard

How the scores work

Overall equally combines weighted requirement satisfaction and visual quality, then averages all 223 tasks on a 0–100 scale. Evaluation uses scene inspection, eight adaptive rendered views and eight quality dimensions. Failed evaluations score zero. Full pass counts tasks satisfying every rubric criterion; it is a separate percentage, not the Overall score.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D · BlenderWorld · Pinned evaluation protocol and runtime

Published completion results

The publisher reports these 13 agents on the same task suite. Read average quality alongside Full pass: a strong average does not establish that every requested property was delivered.

Paper v1, Table 2 · Completion on all 223 tasks
ModelOverallTextMMRubricDimensionFull pass %
GPT-6-Astra79.978.680.787.372.642.2
Opus-573.074.872.180.965.125.6
GPT-5.6-Sol67.771.765.574.760.715.7
DeepSeek-V4.1-Flash65.766.065.572.059.411.7
Qwen3.8-Max60.659.661.165.955.310.3
GLM-5.3-Flash59.763.157.864.854.46.28
Grok-4.657.060.055.461.452.76.73
Opus-4.857.058.656.160.253.75.38
Seed2.1pro-091551.354.749.554.947.73.59
Qwen3.8-27B47.746.148.650.045.51.35
Kimi-K346.541.349.447.945.21.79
Gemini-3.8-Flash34.235.933.229.838.50.45
MiniMax-M331.834.130.628.934.70.45

Overall, Text, MM, Rubric and Dimension are scores on a 0–100 scale. Full pass is the percentage of tasks passing all rubric criteria. Values and displayed precision follow the paper; failed evaluations remain in the denominator.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D · BlenderWorld · Official benchmark and leaderboard

Rollout resources

These are per-task means across the full suite, including unsuccessful calls. They describe generated output and requested operations; they are not matched compute budgets or monetary costs.

Paper v1, Table 2 · Mean rollout resources per task
ModelTurnsOutput tokens KTool calls
GPT-6-Astra45.684.579.1
Opus-5158241155
GPT-5.6-Sol44.939.944.0
DeepSeek-V4.1-Flash171209168
Qwen3.8-Max75.190.672.8
GLM-5.3-Flash102145101
Grok-4.693.412089.8
Opus-4.897.716495.6
Seed2.1pro-0915196122194
Qwen3.8-27B90.011287.4
Kimi-K360.554.358.3
Gemini-3.8-Flash56.635.954.5
MiniMax-M313272.2127

K means thousands of output tokens. A turn is one model-response round. Different harnesses and model accounting limit direct efficiency comparisons.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D · BlenderWorld · Official benchmark and leaderboard

What comparisons can establish

Each model runs once per task at its highest available reasoning setting. GPT-6-Astra and GPT-5.6-Sol use Codex; the other agents use Claude Code. GPT-5.6-terra performs automatic evaluation. Rankings therefore compare complete agent setups, with no repeated-run variance estimate; they do not isolate base-model ability or certify production readiness.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D

Before reproducing a result

Pin the task revision, Blender 4.2.10, harness, reasoning configuration and judge. The reference runtime uses Codex CLI 0.147.0, Claude Code 2.1.220 and Node.js 22.17.0; the paper notes that a 48-task MiniMax-M3 batch uses Claude Code 2.1.241. The public evaluator accepts submission ZIPs from other harnesses, so changed setups need separate protocol labels.

BlenderWorld paper v1 · Methods, Table 2 and Appendix D · BlenderWorld · Pinned evaluation protocol and runtime

Evidence available for this benchmark

This source record contains 13 numeric observations. The source distinguishes 13 model identities or configurations. A model may appear more than once; check the version, tools and run budget before comparing. Read results and row-level evidence →

Reported metric
Overall mean fused score (0–100)
Recorded unit
points
Metric direction
higher is better

Start with these resources

Cited documents and dates (1)

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2026-10-14
Collected
Not recorded
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 13

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
MiniMax-M331.8pointsClaude Code 2.1.220 (48-task batch: 2.1.241); Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
DeepSeek-V4.1-Flash65.7pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
GLM-5.3-Flash59.7pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Gemini-3.8-Flash34.2pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Grok-4.657.0pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Kimi-K346.5pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Opus-4.857.0pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Opus-573.0pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Qwen3.8-27B47.7pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Qwen3.8-Max60.6pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
Seed2.1pro-091551.3pointsClaude Code 2.1.220; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
GPT-5.6-Sol67.7pointsCodex CLI 0.147.0; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2
GPT-6-Astra79.9pointsCodex CLI 0.147.0; Blender 4.2.10; highest available reasoning; one run per task; GPT-5.6-terra judge; failed evaluations score zero and remain in the denominator2026-10-14 · document_publicationBlenderWorld paper v1 · Table 2