MineBench
Models turn a prompt into a Minecraft-style voxel build as raw 3D coordinates or tool calls. Users compare builds blind, and votes become rankings.
The maker says it is an arena of vibes with no correct answers. Kaggle also hosts a MineBench Arena board. About 340 GitHub stars.
- Made by
- Ammaar Alam
- Released
- January 2026
- Kind
- Spatial reasoning and counting
- Level
- Everyday
- Scored
- Ranked by votes
- Answers
- Open-ended
- Tasks
- All public
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last model added
- November 2026
- Scores refreshed
- November 13th, 2026
GPT-6 Astra Pro leads with 2,206
Best score per entry from the benchmark's own leaderboard, read on November 13th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 2,206 GPT-6 Astra Pro
- 2,195
Gemini 4 Carbon
- 2,172
Gemini 4 Argon
- 2,147 GPT 6.1 Sol Pro
- 2,112 Claude Opus 5.5
- 2,102 Claude Fable 5.2
- 2,046 GPT 6 Sol Pro
- 1,993
Gemini 4 Hydrogen
- 1,988 Claude Opus 5
- 1,977 Claude Sonnet 5.5
- 1,973 GPT-5.6 Sol Pro
- 1,970 Kimi K3.1 Pro
- 1,909 Claude Fable 5.1
- 1,903 GPT-5.5 Pro
- 1,851 Claude Fable 5
- 1,850
Muse Wonder
- 1,829 Grok 4.7
- 1,828 GPT-5.5
- 1,804
DeepSeek V4.1 Flash
- 1,793 Grok 4.6
- 1,789
Gemini 3.8 Flash
- 1,777 GPT-5.4 Pro
- 1,768 Claude Opus 4.8
- 1,763 GLM-5.3-Flash
- 1,748
Gemini 3.7 Flash
- 1,740 GLM-5.3
- 1,730
Muse Spark 1.3
- 1,728 GPT 6 Luna Pro
- 1,697 Kimi K3
- 1,686 GPT 5.6 Luna Pro
- 1,661
Gemini 3.1 Pro
- 1,651 GPT-5.4
- 1,636
Gemini 3.5 Flash
- 1,610 Claude Sonnet 5
- 1,603
Gemini 3.6 Flash
- 1,593 Claude Opus 4.7
- 1,565 Claude Haiku 5.5
- 1,564 GPT-5.3 Codex
- 1,552
Muse Spark 1.2
- 1,547 GLM-5.2
- 1,539 GPT-5.2 Pro
- 1,538 Grok 4.5
- 1,501 GLM-5.1
- 1,482
DeepSeek V4 Flash 0731
- 1,472 Claude Opus 4.6
- 1,456 GPT-5.2
- 1,442
DeepSeek-V4-Pro
- 1,425 Kimi K2.6
- 1,387 GPT-5.4 Mini
- 1,375
Gemini 3 Pro
- 1,345 Claude Sonnet 4.6
- 1,339
Gemini 3.5 Flash-Lite
- 1,308 Claude Opus 4.5
- 1,280 Grok 4.20
- 1,275
Qwen3.5 397B-A17B
- 1,248 GPT-5.4 Nano
- 1,244
Gemini 3 Flash
- 1,218
Qwen 3.8 Max
- 1,214 GLM-5
- 1,213
Gemma 4 31B IT
- 1,194
MiniMax-M2.7
- 1,187 Kimi K2.5
- 1,147 Grok 4.3
- 1,140 Claude Sonnet 4.5
- 1,128
Gemini 2.5 Pro
- 1,100 GLM-4.7
- 1,076 GPT-5 mini
- 1,068
MiniMax-M2.5
- 1,052 GPT-5.2 Codex
- 1,037
DeepSeek-V3.2
- 1,033 GPT-4.1
- 990
Qwen3-Max
- 963 Kimi K2
- 953 Grok 4.1 Fast
- 944
Gemini 3.1 Flash-Lite
- 917 GPT 4.5 (web harness)
- 777 gpt-oss-120b
- 744 GPT-4o
- 628
Llama 4 Maverick
- 563 GPT-5 nano
Bars start at 500.
- 1 GPT-6 Astra Pro 2,206
- 2
Gemini 4 Carbon 2,195
- 3
Gemini 4 Argon 2,172
- 4 GPT 6.1 Sol Pro 2,147
- 5 Claude Opus 5.5 2,112
- 6 Claude Fable 5.2 2,102
- 7 GPT 6 Sol Pro 2,046
- 8
Gemini 4 Hydrogen 1,993
- 9 Claude Opus 5 1,988
- 10 Claude Sonnet 5.5 1,977
- 11 GPT-5.6 Sol Pro 1,973
- 12 Kimi K3.1 Pro 1,970
- 13 Claude Fable 5.1 1,909
- 14 GPT-5.5 Pro 1,903
- 15 Claude Fable 5 1,851
- 16
Muse Wonder 1,850
- 17 Grok 4.7 1,829
- 18 GPT-5.5 1,828
- 19
DeepSeek V4.1 Flash 1,804
- 20 Grok 4.6 1,793
- 21
Gemini 3.8 Flash 1,789
- 22 GPT-5.4 Pro 1,777
- 23 Claude Opus 4.8 1,768
- 24 GLM-5.3-Flash 1,763
- 25
Gemini 3.7 Flash 1,748
- 26 GLM-5.3 1,740
- 27
Muse Spark 1.3 1,730
- 28 GPT 6 Luna Pro 1,728
- 29 Kimi K3 1,697
- 30 GPT 5.6 Luna Pro 1,686
- 31
Gemini 3.1 Pro 1,661
- 32 GPT-5.4 1,651
- 33
Gemini 3.5 Flash 1,636
- 34 Claude Sonnet 5 1,610
- 35
Gemini 3.6 Flash 1,603
- 36 Claude Opus 4.7 1,593
- 37 Claude Haiku 5.5 1,565
- 38 GPT-5.3 Codex 1,564
- 39
Muse Spark 1.2 1,552
- 40 GLM-5.2 1,547
- 41 GPT-5.2 Pro 1,539
- 42 Grok 4.5 1,538
- 43 GLM-5.1 1,501
- 44
DeepSeek V4 Flash 0731 1,482
- 45 Claude Opus 4.6 1,472
- 46 GPT-5.2 1,456
- 47
DeepSeek-V4-Pro 1,442
- 48 Kimi K2.6 1,425
- 49 GPT-5.4 Mini 1,387
- 50
Gemini 3 Pro 1,375
- 51 Claude Sonnet 4.6 1,345
- 52
Gemini 3.5 Flash-Lite 1,339
- 53 Claude Opus 4.5 1,308
- 54 Grok 4.20 1,280
- 55
Qwen3.5 397B-A17B 1,275
- 56 GPT-5.4 Nano 1,248
- 57
Gemini 3 Flash 1,244
- 58
Qwen 3.8 Max 1,218
- 59 GLM-5 1,214
- 60
Gemma 4 31B IT 1,213
- 61
MiniMax-M2.7 1,194
- 62 Kimi K2.5 1,187
- 63 Grok 4.3 1,147
- 64 Claude Sonnet 4.5 1,140
- 65
Gemini 2.5 Pro Jun 2025 1,128
- 66 GLM-4.7 1,100
- 67 GPT-5 mini 1,076
- 68
MiniMax-M2.5 1,068
- 69 GPT-5.2 Codex 1,052
- 70
DeepSeek-V3.2 1,037
- 71 GPT-4.1 1,033
- 72
Qwen3-Max 990
- 73 Kimi K2 Sep 2025 963
- 74 Grok 4.1 Fast 953
- 75
Gemini 3.1 Flash-Lite 944
- 76 GPT 4.5 (web harness) 917
- 77 gpt-oss-120b 777
- 78 GPT-4o Mar 2025 744
- 79
Llama 4 Maverick 628
- 80 GPT-5 nano 563
Source: Official MineBench leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra Pro | 2,206 | Sep 2026 | Official leaderboard | |
| 2 | | 2,195 | Oct 2026 | Official leaderboard | |
| 3 | | 2,172 | Sep 2026 | Official leaderboard | |
| 4 | GPT 6.1 Sol Pro | 2,147 | Official leaderboard | ||
| 5 | Claude Opus 5.5 | 2,112 | Sep 2026 | Official leaderboard | |
| 6 | Claude Fable 5.2 | 2,102 | Nov 2026 | Official leaderboard | |
| 7 | GPT 6 Sol Pro | 2,046 | Official leaderboard | ||
| 8 | | 1,993 | Nov 2026 | Official leaderboard | |
| 9 | Claude Opus 5 | 1,988 | Jul 2026 | Official leaderboard | |
| 10 | Claude Sonnet 5.5 | 1,977 | Sep 2026 | Official leaderboard | |
| 11 | GPT-5.6 Sol Pro | 1,973 | Jul 2026 | Official leaderboard | |
| 12 | Kimi K3.1 Pro | 1,970 | Oct 2026 | Official leaderboard | |
| 13 | Claude Fable 5.1 | 1,909 | Sep 2026 | Official leaderboard | |
| 14 | GPT-5.5 Pro | 1,903 | Apr 2026 | Official leaderboard | |
| 15 | Claude Fable 5 | 1,851 | Jun 2026 | Official leaderboard | |
| 16 | | 1,850 | Oct 2026 | Official leaderboard | |
| 17 | Grok 4.7 | 1,829 | Sep 2026 | Official leaderboard | |
| 18 | GPT-5.5 | 1,828 | Apr 2026 | Official leaderboard | |
| 19 | | 1,804 | Sep 2026 | Official leaderboard | |
| 20 | Grok 4.6 | 1,793 | Aug 2026 | Official leaderboard | |
| 21 | | 1,789 | Sep 2026 | Official leaderboard | |
| 22 | GPT-5.4 Pro | 1,777 | Mar 2026 | Official leaderboard | |
| 23 | Claude Opus 4.8 | 1,768 | May 2026 | Official leaderboard | |
| 24 | GLM-5.3-Flash | 1,763 | Aug 2026 | Official leaderboard | |
| 25 | | 1,748 | Aug 2026 | Official leaderboard | |
| 26 | GLM-5.3 | 1,740 | Aug 2026 | Official leaderboard | |
| 27 | | 1,730 | Sep 2026 | Official leaderboard | |
| 28 | GPT 6 Luna Pro | 1,728 | Official leaderboard | ||
| 29 | Kimi K3 | 1,697 | Jul 2026 | Official leaderboard | |
| 30 | GPT 5.6 Luna Pro | 1,686 | Official leaderboard | ||
| 31 | | 1,661 | Feb 2026 | Official leaderboard | |
| 32 | GPT-5.4 | 1,651 | Mar 2026 | Official leaderboard | |
| 33 | | 1,636 | May 2026 | Official leaderboard | |
| 34 | Claude Sonnet 5 | 1,610 | Jun 2026 | Official leaderboard | |
| 35 | | 1,603 | Jul 2026 | Official leaderboard | |
| 36 | Claude Opus 4.7 | 1,593 | Apr 2026 | Official leaderboard | |
| 37 | Claude Haiku 5.5 | 1,565 | Oct 2026 | Official leaderboard | |
| 38 | GPT-5.3 Codex | 1,564 | Feb 2026 | Official leaderboard | |
| 39 | | 1,552 | Aug 2026 | Official leaderboard | |
| 40 | GLM-5.2 | 1,547 | Jun 2026 | Official leaderboard | |
| 41 | GPT-5.2 Pro | 1,539 | Dec 2025 | Official leaderboard | |
| 42 | Grok 4.5 | 1,538 | Jul 2026 | Official leaderboard | |
| 43 | GLM-5.1 | 1,501 | Apr 2026 | Official leaderboard | |
| 44 | | 1,482 | Jul 2026 | Official leaderboard | |
| 45 | Claude Opus 4.6 | 1,472 | Feb 2026 | Official leaderboard | |
| 46 | GPT-5.2 | 1,456 | Dec 2025 | Official leaderboard | |
| 47 | | 1,442 | Apr 2026 | Official leaderboard | |
| 48 | Kimi K2.6 | 1,425 | Apr 2026 | Official leaderboard | |
| 49 | GPT-5.4 Mini | 1,387 | Mar 2026 | Official leaderboard | |
| 50 | | 1,375 | Nov 2025 | Official leaderboard | |
| 51 | Claude Sonnet 4.6 | 1,345 | Feb 2026 | Official leaderboard | |
| 52 | | 1,339 | Jul 2026 | Official leaderboard | |
| 53 | Claude Opus 4.5 | 1,308 | Nov 2025 | Official leaderboard | |
| 54 | Grok 4.20 | 1,280 | Feb 2026 | Official leaderboard | |
| 55 | | 1,275 | Feb 2026 | Official leaderboard | |
| 56 | GPT-5.4 Nano | 1,248 | Mar 2026 | Official leaderboard | |
| 57 | | 1,244 | Dec 2025 | Official leaderboard | |
| 58 | | 1,218 | Aug 2026 | Official leaderboard | |
| 59 | GLM-5 | 1,214 | Feb 2026 | Official leaderboard | |
| 60 | | 1,213 | Apr 2026 | Official leaderboard | |
| 61 | | 1,194 | Mar 2026 | Official leaderboard | |
| 62 | Kimi K2.5 | 1,187 | Jan 2026 | Official leaderboard | |
| 63 | Grok 4.3 | 1,147 | Apr 2026 | Official leaderboard | |
| 64 | Claude Sonnet 4.5 | 1,140 | Sep 2025 | Official leaderboard | |
| 65 | | 1,128 | Jun 2025 | Official leaderboard | |
| 66 | GLM-4.7 | 1,100 | Dec 2025 | Official leaderboard | |
| 67 | GPT-5 mini | 1,076 | Aug 2025 | Official leaderboard | |
| 68 | | 1,068 | Feb 2026 | Official leaderboard | |
| 69 | GPT-5.2 Codex | 1,052 | Dec 2025 | Official leaderboard | |
| 70 | | 1,037 | Dec 2025 | Official leaderboard | |
| 71 | GPT-4.1 | 1,033 | Apr 2025 | Official leaderboard | |
| 72 | | 990 | Sep 2025 | Official leaderboard | |
| 73 | Kimi K2 Sep 2025 | 963 | Sep 2025 | Official leaderboard | |
| 74 | Grok 4.1 Fast | 953 | Nov 2025 | Official leaderboard | |
| 75 | | 944 | Mar 2026 | Official leaderboard | |
| 76 | GPT 4.5 (web harness) | 917 | Official leaderboard | ||
| 77 | gpt-oss-120b | 777 | Aug 2025 | Official leaderboard | |
| 78 | GPT-4o Mar 2025 | 744 | Mar 2025 | Official leaderboard | |
| 79 | | 628 | Apr 2025 | Official leaderboard | |
| 80 | GPT-5 nano | 563 | Aug 2025 | Official leaderboard |
The best score, 2,206, costs $2.31 a task
Runs on the cost frontier score higher than any run that's cheaper. Gemini 4 Argon comes within 34 of the best for $0.61 a task, 4 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official MineBench leaderboard
8 models have held number one on the official leaderboard since its release in January 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official MineBench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official MineBench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Vision
- MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
- MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. GPT-5.6 Sol 84.6%
- CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
- MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy.
Qwen 3.8 Max 97.7%
- MMStar In use Models answer 1,500 human-curated image questions that cannot be solved without the image, across 6 core capabilities. Scored by accuracy.
Qwen 3.8 Max 85.9%
- ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance.
Command A Vision 90.9%