VoxelBench Text-Prompt Leaderboard (VoxelBench Text)
We show this table for reference; we do not rank on it.
A live human-preference benchmark where language models turn text prompts into voxel structures and voters compare anonymous builds from the same prompt.
Glicko-2 rating on VoxelBench text-prompt leaderboard — November 12, 2026
We mirror the published glicko-2 rating view for VoxelBench text-prompt leaderboard. GPT-6 Astra leads the public snapshot at 2724, followed by Claude Opus 5.5 (2578) and GPT-6.1 Sol (2532). We do not use these results to rank models overall.
GPT-6 Astra
OpenAI
5,728 votes · 96.2% win · 95% CI 2461–2987
Claude Opus 5.5
Anthropic
2,826 votes · 93.8% win · 95% CI 2451–2705
GPT-6.1 Sol
OpenAI
2,307 votes · 91.6% win · 95% CI 2309–2755
57 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 12, 2026
Glicko-2 rating table (57 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | GPT-6 AstraOpenAI5,728 votes · 96.2% win · 95% CI 2461–2987 | 2724 | Not reported | Closed |
| 2 | Claude Opus 5.5Anthropic2,826 votes · 93.8% win · 95% CI 2451–2705 | 2578 | Not reported | Closed |
| 3 | GPT-6.1 SolOpenAI2,307 votes · 91.6% win · 95% CI 2309–2755 | 2532 | Not reported | Closed |
| 4 | GPT-6 SolOpenAI1,105 votes · 82.3% win · 95% CI 2237–2491 | 2364 | Not reported | Closed |
| 5 | Claude Opus 5Anthropic3,559 votes · 83.3% win · 95% CI 2189–2429 | 2309 | Not reported | Closed |
| 6 | GPT-6.1 TerraOpenAI1,545 votes · 82.9% win · 95% CI 2238–2368 | 2303 | Not reported | Closed |
| 7 | GPT-5.6 SolOpenAI5,129 votes · 85.2% win · 95% CI 2142–2358 | 2250 | Not reported | Closed |
| 8 | Kimi K3.1 ProMoonshot AI1,650 votes · 79.5% win · 95% CI 2079–2275 | 2177 | Not reported | Open |
| 9 | Gemini 4 ArgonGoogle1,970 votes · 80.4% win · 95% CI 2036–2268 | 2152 | Not reported | Closed |
| 10 | Claude Fable 5Anthropic5,457 votes · 84.2% win · 95% CI 1994–2218 | 2106 | Not reported | Closed |
| 11 | Grok 4.6xAI3,080 votes · 71.2% win · 95% CI 1967–2187 | 2077 | Not reported | Closed |
| 12 | DeepSeek-v4.1-Flash-1017DeepSeek1,161 votes · 70.8% win · 95% CI 1926–2142 | 2034 | Not reported | Unknown |
| 13 | GPT-5.5 ProOpenAI6,127 votes · 80.8% win · 95% CI 1854–2098 | 1976 | Not reported | Closed |
| 14 | GPT-5.6 TerraOpenAI2,959 votes · 60.5% win · 95% CI 1820–2032 | 1926 | Not reported | Closed |
| 15 | GPT-5.5OpenAI6,834 votes · 80.0% win · 95% CI 1806–2030 | 1918 | Not reported | Closed |
| 16 | Kimi K3Moonshot AI4,377 votes · 70.9% win · 95% CI 1798–2014 | 1906 | Not reported | Open |
| 17 | DeepSeek V4.1 Flash 1017DeepSeek2,902 votes · 56.5% win · 95% CI 1758–2002 | 1880 | Not reported | Open |
| 18 | Gemini 3.7 FlashGoogle3,200 votes · 57.1% win · 95% CI 1764–1984 | 1874 | Not reported | Closed |
| 19 | space-bunny-alphaUnknown991 votes · 48.8% win · 95% CI 1755–1975 | 1865 | Not reported | Unknown |
| 20 | Muse WonderMeta1,051 votes · 59.1% win · 95% CI 1716–1940 | 1828 | Not reported | Closed |
| 21 | GPT-5.6 LunaOpenAI3,032 votes · 54.7% win · 95% CI 1710–1934 | 1822 | Not reported | Closed |
| 22 | GPT-6 LunaOpenAI1,053 votes · 47.6% win · 95% CI 1704–1940 | 1822 | Not reported | Closed |
| 23 | MiniMax M3.1 FlashMiniMax983 votes · 54.4% win · 95% CI 1702–1934 | 1818 | Not reported | Closed |
| 24 | Gemini 3.8 FlashGoogle2,753 votes · 47.9% win · 95% CI 1684–1920 | 1802 | Not reported | Closed |
| 25 | Gemini 3.6 FlashGoogle3,519 votes · 52.8% win · 95% CI 1681–1893 | 1787 | Not reported | Closed |
| 26 | GLM-5.3Z.AI3,207 votes · 50.3% win · 95% CI 1669–1889 | 1779 | Not reported | Open |
| 27 | Qwen3.8 MaxAlibaba3,201 votes · 55.6% win · 95% CI 1638–1866 | 1752 | Not reported | Open |
| 28 | GLM-5.3-Flash (Max)Z.AI3,787 votes · 51.7% win · 95% CI 1635–1855 | 1745 | Not reported | Unknown |
| 29 | Grok 4.5xAI4,062 votes · 54.4% win · 95% CI 1631–1851 | 1741 | Not reported | Closed |
| 30 | Claude Haiku 5.5Anthropic836 votes · 47.5% win · 95% CI 1603–1847 | 1725 | Not reported | Closed |
| 31 | Gemini 3.5 FlashGoogle4,471 votes · 54.0% win · 95% CI 1534–1758 | 1646 | Not reported | Closed |
| 32 | Gemini 3.1 Pro PreviewGoogle7,629 votes · 72.0% win · 95% CI 1505–1733 | 1619 | Not reported | Unknown |
| 33 | DeepSeek V4 Pro 0813DeepSeek2,859 votes · 39.8% win · 95% CI 1508–1728 | 1618 | Not reported | Open |
| 34 | Qwen3.7 MaxAlibaba4,073 votes · 47.4% win · 95% CI 1497–1725 | 1611 | Not reported | Closed |
| 35 | Claude Opus 4.8 (Max)Anthropic4,343 votes · 52.1% win · 95% CI 1477–1709 | 1593 | Not reported | Unknown |
| 36 | Muse Spark 1.3Meta2,106 votes · 42.3% win · 95% CI 1465–1719 | 1592 | Not reported | Closed |
| 37 | GLM-5.2Z.AI4,148 votes · 45.4% win · 95% CI 1465–1705 | 1585 | Not reported | Open |
| 38 | Claude Sonnet 5 (xhigh)Anthropic3,373 votes · 41.8% win · 95% CI 1430–1658 | 1544 | Not reported | Unknown |
| 39 | Muse Spark 1.1Meta3,316 votes · 34.8% win · 95% CI 1426–1654 | 1540 | Not reported | Closed |
| 40 | Gemini 2.5 Deep ThinkGoogle6,956 votes · 70.5% win · 95% CI 1335–1589 | 1462 | Not reported | Unknown |
| 41 | DeepSeek V4 Flash 0731DeepSeek3,169 votes · 28.4% win · 95% CI 1335–1563 | 1449 | Not reported | Open |
| 42 | Gemini 3 Deep ThinkGoogle4,156 votes · 48.8% win · 95% CI 1316–1578 | 1447 | Not reported | Unknown |
| 43 | GLM-5.1Z.AI4,928 votes · 38.6% win · 95% CI 1327–1559 | 1443 | Not reported | Open |
| 44 | GPT-5.4OpenAI5,186 votes · 50.8% win · 95% CI 1303–1553 | 1428 | Not reported | Closed |
| 45 | Claude Opus 4.6Anthropic4,963 votes · 50.0% win · 95% CI 1290–1548 | 1419 | Not reported | Closed |
| 46 | GPT-5.2 (xHigh)OpenAI4,119 votes · 51.8% win · 95% CI 1272–1542 | 1407 | Not reported | Unknown |
| 47 | MiniMax M3MiniMax4,198 votes · 34.4% win · 95% CI 1278–1524 | 1401 | Not reported | Open |
| 48 | Claude Opus 4.7Anthropic4,382 votes · 39.5% win · 95% CI 1266–1520 | 1393 | Not reported | Closed |
| 49 | Claude Opus 4.5Anthropic4,486 votes · 49.8% win · 95% CI 1226–1488 | 1357 | Not reported | Closed |
| 50 | Gemini 3 Pro PreviewGoogle4,316 votes · 46.3% win · 95% CI 1214–1496 | 1355 | Not reported | Unknown |
| 51 | GPT-5 (high)OpenAI7,036 votes · 55.5% win · 95% CI 1181–1447 | 1314 | Not reported | Closed |
| 52 | DeepSeek V4 Pro 0813DeepSeek4,657 votes · 28.7% win · 95% CI 1170–1410 | 1290 | Not reported | Open |
| 53 | Gemini 3 Flash PreviewGoogle5,548 votes · 37.5% win · 95% CI 1160–1418 | 1289 | Not reported | Unknown |
| 54 | Gemini 2.5 ProGoogle7,000 votes · 49.7% win · 95% CI 1003–1575 | 1289 | Not reported | Closed |
| 55 | Qwen 3.6 Plus PreviewAlibaba4,148 votes · 32.2% win · 95% CI 1136–1390 | 1263 | Not reported | Unknown |
| 56 | Claude Sonnet 4.5 (32K Thinking)Anthropic7,709 votes · 47.6% win · 95% CI 1125–1369 | 1247 | Not reported | Unknown |
| 57 | GPT-5 ProOpenAI6,553 votes · 53.0% win · 95% CI 1072–1326 | 1199 | Not reported | Unknown |
How to read this leaderboard
A higher rating means a model's text-prompt builds won more of their pairwise comparisons after Glicko-2 adjusted for opponent strength. Read the rating together with its confidence interval and vote count.
Operator receipt: 57 sourced rows are currently displayable on this page; the leading published row is GPT-6 Astra at 2724.
Honest limit: The score belongs to the full VoxelBench setup, including its generation tool, instructions, reasoning setting, prompt mix, renderer, and voter pool. It is not a controlled base-model spatial-reasoning score.
How we show VoxelBench text-prompt ratings
We mirror the text-prompt table from VoxelBench's public leaderboard API. The source page shows models after at least 50 votes and ranks the eligible rows with Glicko-2; the snapshot keeps each rating, deviation, 95% confidence interval, vote count, win rate, and win/loss/tie record.
Voters compare two anonymous voxel structures produced for the same text prompt. The result mixes model behavior with VoxelBench's generation tools, instructions, settings, prompt mix, renderer, and voter pool, so we keep it display only and separate from weighted model rankings.
Snapshot
The published VoxelBench Text snapshot places GPT-6 Astra first at 2724. The third row is 192 score units behind. The broader top-10 range is 618 score units, so the table still separates the published systems.
57 models have been evaluated on VoxelBench Text. The benchmark falls in the Multimodal & Grounded category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. VoxelBench Text is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About VoxelBench Text
Year
2025
Tasks
Live text prompts for 3D voxel construction
Format
Glicko-2 rating from blind pairwise votes
Difficulty
3D spatial construction and visual quality
We mirror the official text-prompt API rows that clear VoxelBench's 50-vote display gate. Glicko-2 ratings summarize blind pairwise preferences, while rating deviation and the 95% confidence interval show how uncertain each estimate remains.
Freshness and provenance
Version
Live VoxelBench Glicko-2
Refresh cadence
Rolling
Staleness state
Current
Question availability
Prompts browsable; full task set not versioned
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 VoxelBench Text measure?
A live human-preference benchmark where language models turn text prompts into voxel structures and voters compare anonymous builds from the same prompt.
Which model leads the published VoxelBench Text snapshot?
GPT-6 Astra currently leads the published VoxelBench Text snapshot with 2724 glicko-2 rating. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on VoxelBench Text?
The November 12, 2026 snapshot contains 57 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
Read a sample issueJoin 7,000+ subscribers.
One email each week. Unsubscribe anytime.