All benchmarks
Multimodal

Blueprint-Bench 2

50 apartments, each shown as about 20 interior photos. The agent draws a 2D floor plan of the rooms, how they connect and their relative sizes, which is compared with the real layout. The published score is normalized so that a random plan reads 0 and a perfect one 100%.

Understanding photos, diagrams and documents alongside text. One of 4 comparable tests in multimodal, a category the Index averages.

Read with care. Scores at or below the random baseline are published as zero. Andon Labs measured its human baseline, about 59%, on 12 of the 50 apartments only.

Publisher: Andon Labs

What a model is asked to do

Turn about twenty interior photos of an apartment into a floor plan: which rooms there are, how they connect and how big they are.

For exampleA red armchair appears in two photos taken from different doorways. Use it to work out that the hallway links the living room and the study, then draw the plan.

Why it matters. Building a map of a place from pictures is basic spatial sense, the kind a model needs before it can help plan a renovation or guide a robot.

The example is original and illustrative, not an item from the dataset.

Models scored here
36
Who produced the numbers
Official leaderboard
Items graded
n = 50 (2.0% each)
Best published result
58.6%
Newest release covered
October 28, 2026 (active)
License
CC BY 4.0 (via Epoch AI)
Direction
Higher is better
Scale
Published as a share of items solved. For the Index, each score is a share of the best published result (58.6%), so the frontier reads 100. Guessing earns nothing on this test, so no chance correction applies.
Provenance
Produced by the benchmark's own leaderboard or a third-party evaluator, not by the model's maker.

Snapshot November 10, 2026

Ranking on this test

36 models on Blueprint-Bench 2

Best published run per model, and how close each one comes to the best published result on this test (the frontier reads 100). Every number links to the publisher that produced it. Internal runs are marked and carry their run details on the model page. One item on this test is 2.0 points, so read gaps smaller than that as noise.

#ModelScoreProduced by
1Gemini 4 CarbonGoogle58.6%Leaderboard
2Gemini 4 ArgonGoogle54.4%Leaderboard
3Claude Opus 5.5Anthropic51.2%Leaderboard
4GPT-6 AstraOpenAI49.7%Leaderboard
5GPT-6.1 SolOpenAI43.2%Leaderboard
6GPT-6.1 TerraOpenAI42.1%Leaderboard
7Claude Fable 5.1Anthropic41.9%Leaderboard
8Claude Sonnet 5.5Anthropic39.3%Leaderboard
9Claude Fable 5Anthropic38.6%Leaderboard
10Gemini 3.8 FlashGoogle38.6%Leaderboard
11GPT-6 SolOpenAI36.9%Leaderboard
12GPT-5.5OpenAI36.2%Leaderboard
13GPT-5.6 SolOpenAI33.6%Leaderboard
14Gemini 3.5 FlashGoogle33.6%Leaderboard
15Grok 4.6xAI33.2%Leaderboard
16Claude Haiku 5.5Anthropic33.0%Leaderboard
17Grok 4.7xAI32.5%Leaderboard
18Muse WonderMeta31.7%Leaderboard
19GPT-6 LunaOpenAI31.2%Leaderboard
20Gemini 3.6 FlashGoogle31.2%Leaderboard
21GPT-5.6 TerraOpenAI30.8%Leaderboard
22Claude Opus 5Anthropic30.4%Leaderboard
23Kimi K3Moonshot AI29.5%Leaderboard
24Grok 4.5xAI27.3%Leaderboard
25GPT-5.4OpenAI27.1%Leaderboard
26Gemini 3.1 ProGoogle26.5%Leaderboard
27Claude Sonnet 5Anthropic24.9%Leaderboard
28Claude Opus 4.7Anthropic24.5%Leaderboard
29GPT-5.6 LunaOpenAI22.6%Leaderboard
30Claude Opus 4.8Anthropic14.5%Leaderboard
31Claude Sonnet 4.6Anthropic6.7%Leaderboard
32Kimi K2.6Moonshot AI3.9%Leaderboard
33Grok 4.20xAI0.0%Leaderboard
34Gemini 3 FlashGoogle0.0%Leaderboard
35Grok 4.3xAI0.0%Leaderboard
36Claude Haiku 4.5Anthropic0.0%Leaderboard
Theo

The best models, ranked here, working inside Theo.

29 of the models on this page run inside Theo today. Theo picks the right one for each step and always shows which engine answered.