Furniture Assembly Benchmark (Epoch AI) (Furniture Assembly)
We show this table for reference; we do not rank on it.
Epoch AI's Furniture Assembly benchmark shows models photos of IKEA furniture builds with the official manual and asks whether the build is correct so far and, if not, which step went wrong.
Benchmark score on Furniture Assembly — November 13, 2026
We compile the Furniture Assembly rows from benchmark-owner or independent runs. Claude Fable 5.2 leads the table at 90.0%, followed by Claude Opus 5.5 (83.3%) and GPT-6 Astra (80.0%). We do not use these results to rank models overall.
Claude Fable 5.2
Anthropic
Run by Furniture AssemblyClaude Opus 5.5
Anthropic
Run by Furniture AssemblyGPT-6 Astra
OpenAI
Run by Furniture Assembly37 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (37 models)
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.2AnthropicRun by Furniture Assembly | 90.0% | Run by Furniture Assembly | Not reported | Closed |
| 2 | Claude Opus 5.5AnthropicRun by Furniture Assembly | 83.3% | Run by Furniture Assembly | Not reported | Closed |
| 3 | GPT-6 AstraOpenAIRun by Furniture Assembly | 80.0% | Run by Furniture Assembly | Not reported | Closed |
| 4 | GPT-6.1 SolOpenAIRun by Furniture Assembly | 80.0% | Run by Furniture Assembly | Not reported | Closed |
| 5 | GPT-6.1 TerraOpenAIRun by Furniture Assembly | 79.2% | Run by Furniture Assembly | Not reported | Closed |
| 6 | Gemini 4 CarbonGoogleRun by Furniture Assembly | 77.5% | Run by Furniture Assembly | Not reported | Closed |
| 7 | Claude Sonnet 5.5AnthropicRun by Furniture Assembly | 75.0% | Run by Furniture Assembly | Not reported | Closed |
| 8 | Gemini 4 ArgonGoogleRun by Furniture Assembly | 72.5% | Run by Furniture Assembly | Not reported | Closed |
| 9 | Claude Fable 5.1AnthropicRun by Furniture Assembly | 70.0% | Run by Furniture Assembly | Not reported | Closed |
| 10 | Claude Opus 5AnthropicRun by Furniture Assembly | 60.8% | Run by Furniture Assembly | Not reported | Closed |
| 11 | GPT-6 SolOpenAIRun by Furniture Assembly | 58.3% | Run by Furniture Assembly | Not reported | Closed |
| 12 | GPT-5.6 SolOpenAIRun by Furniture Assembly | 56.7% | Run by Furniture Assembly | Not reported | Closed |
| 13 | Kimi K3.1 ProMoonshot AIRun by Furniture Assembly | 55.8% | Run by Furniture Assembly | Not reported | Open |
| 14 | GPT-5.6 TerraOpenAIRun by Furniture Assembly | 54.2% | Run by Furniture Assembly | Not reported | Closed |
| 15 | Muse WonderMetaRun by Furniture Assembly | 54.2% | Run by Furniture Assembly | Not reported | Closed |
| 16 | Claude Haiku 5.5AnthropicRun by Furniture Assembly | 47.5% | Run by Furniture Assembly | Not reported | Closed |
| 17 | GPT-5.5OpenAIRun by Furniture Assembly | 44.2% | Run by Furniture Assembly | Not reported | Closed |
| 18 | GPT-6 LunaOpenAIRun by Furniture Assembly | 44.2% | Run by Furniture Assembly | Not reported | Closed |
| 19 | Claude Opus 4.8AnthropicRun by Furniture Assembly | 42.5% | Run by Furniture Assembly | Not reported | Closed |
| 20 | GPT-5.6 LunaOpenAIRun by Furniture Assembly | 42.5% | Run by Furniture Assembly | Not reported | Closed |
| 21 | Grok 4.6xAIRun by Furniture Assembly | 40.0% | Run by Furniture Assembly | Not reported | Closed |
| 22 | GPT-5.2OpenAIRun by Furniture Assembly | 38.3% | Run by Furniture Assembly | Not reported | Closed |
| 23 | GPT-5.4OpenAIRun by Furniture Assembly | 37.5% | Run by Furniture Assembly | Not reported | Closed |
| 24 | Claude Fable 5AnthropicRun by Furniture Assembly | 35.8% | Run by Furniture Assembly | Not reported | Closed |
| 25 | Kimi K3Moonshot AIRun by Furniture Assembly | 34.2% | Run by Furniture Assembly | Not reported | Open |
| 26 | DeepSeek V4.1 Flash 1017DeepSeekRun by Furniture Assembly | 34.2% | Run by Furniture Assembly | Not reported | Open |
| 27 | Claude Opus 4.7AnthropicRun by Furniture Assembly | 33.3% | Run by Furniture Assembly | Not reported | Closed |
| 28 | Gemini 3.8 FlashGoogleRun by Furniture Assembly | 31.7% | Run by Furniture Assembly | Not reported | Closed |
| 29 | Claude Opus 4.6AnthropicRun by Furniture Assembly | 28.3% | Run by Furniture Assembly | Not reported | Closed |
| 30 | Claude Opus 4.5AnthropicRun by Furniture Assembly | 28.3% | Run by Furniture Assembly | Not reported | Closed |
| 31 | Gemini 3.1 ProGoogleRun by Furniture Assembly | 26.7% | Run by Furniture Assembly | Not reported | Closed |
| 32 | Gemini 3.7 FlashGoogleRun by Furniture Assembly | 26.7% | Run by Furniture Assembly | Not reported | Closed |
| 33 | Gemini 3.6 FlashGoogleRun by Furniture Assembly | 23.3% | Run by Furniture Assembly | Not reported | Closed |
| 34 | Grok 4.5xAIRun by Furniture Assembly | 22.5% | Run by Furniture Assembly | Not reported | Closed |
| 35 | Kimi K2.6Moonshot AIRun by Furniture Assembly | 21.7% | Run by Furniture Assembly | Not reported | Open |
| 36 | Grok 4.7xAIRun by Furniture Assembly | 20.8% | Run by Furniture Assembly | Not reported | Closed |
| 37 | Mistral Large 4MistralRun by Furniture Assembly | 20.8% | Run by Furniture Assembly | Not reported | Open |
- Lab-reported
- Benchmark-run
- Independent
How to read this leaderboard
Higher is better. With 60 photos, one answer moves the score by about 1.7 points. Claude Fable 5.2 leads at 90%, ahead of Claude Opus 5.5 at 83.3%.
Operator receipt: 37 sourced rows are currently displayable on this page; the leading published row is Claude Fable 5.2 at 90.0%.
Honest limit: Three products and 60 photos make a small test set, and description grading relies on an LLM grader. It measures matching a manual to a real object, not physical manipulation. BenchLM shows it as display-only; it does not enter overall or category rankings.
Among the reported Furniture Assembly rows, Claude Fable 5.2 is first at 90.0%. The third row is 10.0 points behind. The broader top-10 range is 29.2 points, so the table still separates the published systems.
37 models have been evaluated on Furniture Assembly. The benchmark falls in the Multimodal & Grounded category. We keep these results separate from the weighted global scoring system, so they remain source-specific evidence. Furniture Assembly is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Furniture Assembly
Year
2026
Tasks
60 photos of three IKEA builds, some with deliberate assembly mistakes
Format
Agentic visual check with manual PDF, zoom tool and Python, 80-step budget
Difficulty
Spatial reasoning from technical diagrams to real photos
Epoch built three IKEA products of increasing complexity (the Ställ shoe cabinet, Tonstad bed frame and Gullaberg dresser) and took 60 photos during assembly. Some show correct builds; others contain a deliberate, clearly visible mistake, often with assembly continued past it. For each photo the model gets the product, the step just completed, the photo, the assembly manual as a PDF, a zoom tool and a Python interpreter, with a budget of 80 agent steps. A correct build must be called correct; for a faulty build the model must name the mistaken step, and an LLM grader then checks the description leniently.
Freshness and provenance
Version
Furniture Assembly 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does the Furniture Assembly benchmark measure?
Spatial reasoning about physical construction: reading an IKEA manual, comparing it with a photo of a real build and spotting whether, and at which step, something was assembled wrong.
Which model is best at Furniture Assembly?
Claude Fable 5.2 at max effort leads with 90%, followed by Claude Opus 5.5 (83.3%), GPT-6.1 Sol and GPT-6 Astra (80% each).
Compare top models on Furniture Assembly
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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