Multimodal benchmark

# Blueprint-Bench 2 leaderboard

> Blueprint-Bench 2 results for 31 AI models, led by Gemini 4 Argon at 54.4%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/blueprint-bench-2
- Last updated: 2026-10-10
- Title: Blueprint-Bench 2 Leaderboard (October 2026): Scores by Model

As of October 2026, Gemini 4 Argon has the highest published Blueprint-Bench 2 score on Noometry at 54.4%, out of 31 models with results.

Last verified October 10, 2026

## About Blueprint-Bench 2

A description with primary sources is being prepared for this benchmark.

- **Category:** [Multimodal](https://noometry.com/best/multimodal)
- **Introduced:** 2026
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [epoch.ai](https://epoch.ai/benchmarks)

## Top 15 models

Top models on Blueprint-Bench 2

1.  Gemini 4 Argon 54.4%
2.  Claude Opus 5.5 51.2%
3.  GPT-6 Astra 49.7%
4.  Claude Fable 5.1 41.9%
5.  Claude Fable 5 38.6%
6.  Gemini 3.8 Flash 38.6%
7.  GPT-6 Sol 36.9%
8.  GPT-5.5 36.2%
9.  Gemini 3.5 Flash 33.6%
10.  GPT-5.6 Sol 33.6%
11.  Grok 4.6 33.2%
12.  Grok 4.7 32.5%
13.  Gemini 3.6 Flash 31.2%
14.  GPT-6 Luna 31.2%
15.  GPT-5.6 Terra 30.8%
16.  2030405060

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## All results

Blueprint-Bench 2 results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 54.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 51.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 49.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 41.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 38.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 38.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 36.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 36.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 33.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 33.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 33.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 32.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 31.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 31.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 15 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 30.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 16 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 30.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 17 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 29.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 18 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 27.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 19 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 27.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 20 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 26.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 21 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 24.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 22 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 24.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 23 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 22.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 24 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 14.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 25 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 6.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 26 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 3.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 27 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 28 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 29 | [Gemini Robotics-ER 1.6](https://noometry.com/models/gemini-robotics-er-1-6) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 30 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 31 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 0% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [Gemini 4 Argon vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-gemini-4-argon)
-   [Gemini 4 Argon vs GPT-6 Astra](https://noometry.com/compare/gemini-4-argon-vs-gpt-6-astra)
-   [Gemini 4 Argon vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gemini-4-argon)
-   [Gemini 4 Argon vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-gemini-4-argon)
-   [Claude Opus 5.5 vs GPT-6 Astra](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)

## Other multimodal benchmarks

-   [LMArena Vision](https://noometry.com/benchmarks/arena-vision)
-   [Video-MME](https://noometry.com/benchmarks/video-mme)
-   [GeoBench](https://noometry.com/benchmarks/geobench)
-   [VPCT](https://noometry.com/benchmarks/vpct)
-   [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly)
-   [LMArena Document](https://noometry.com/benchmarks/arena-document) (reference)
-   [MindCube](https://noometry.com/benchmarks/mindcube) (reference)
-   [ScienceQA](https://noometry.com/benchmarks/scienceqa) (reference)
-   [SpatialViz-Bench](https://noometry.com/benchmarks/spatialviz-bench) (reference)

## Frequently asked questions

### Which model has the highest Blueprint-Bench 2 score?

As of October 2026, Gemini 4 Argon has the highest published Blueprint-Bench 2 score on Noometry at 54.4%, out of 31 models with results.

### What is the best open-weight model on Blueprint-Bench 2?

Kimi K3 has the highest Blueprint-Bench 2 accuracy among open-weight models at 29.5%, ranking 17 of 31 overall.

### Cite this page

Noometry. (2026). Blueprint-Bench 2 leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/blueprint-bench-2

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/blueprint-bench-2.md).