Name: Black Forest Labs 3D 图像生成模型排行榜（2026-07-10） | AITNT
Creator: LM Arena
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Black Forest Labs,3D建模,AI 大语言模型排行榜,AI 模型排行

LM Arena 大模型全球实力榜LM Arena Global AI Leaderboard3D建模🧧3D Modeling

查看各种 AI 大语言模型在数学推理、代码生成、创意写作及其他开放式文本任务中的综合 Elo 积分排名，数据来源于真实用户的匿名盲测投票。

2026-07-10

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上榜模型Models

参赛厂商Providers

137.7K

总投票数Total Votes

📖 指标说明 — 读懂这张榜单📖 Metrics Guide — Understanding the Leaderboard

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榜单主指标（Score）Primary Metric (Score)

每个榜单会采用官网对应的核心排序指标。通用 Arena 榜单通常是模型竞技积分；智能体榜单则展示净提升及多项任务指标。

Each leaderboard uses the official primary ranking metric. Most Arena boards use competitive scores; the Agent board uses net improvement and task-specific metrics.

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精确值（Float Value）Float Value

主指标的完整浮点数值。对于通用 Arena 榜单可用于区分整数分相近的模型；智能体榜单以百分比和置信区间展示。

The full floating-point value of the primary metric. It helps distinguish close scores on standard boards; Agent metrics are shown as percentages with confidence intervals.

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方差（Variance）Variance

衡量结果的统计稳定程度。绿色·稳定（<5）更可信；橙色·波动（5~12）；红色·不稳（>12）说明排名还可能明显变化。

Measures statistical stability. Green·Stable (<5); Orange·Unstable (5–12); Red·Volatile (>12) means the ranking may still move significantly.

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置信区间（95% CI = ±N）95% Confidence Interval (CI = ±N)

95% 置信区间反映当前估计的不确定范围，显示为 ±N。在相同计算口径下，N 越小说明估计越集中、排名越稳定。

The 95% confidence interval, shown as ±N, summarizes uncertainty in the current estimate. Under the same methodology, a smaller N indicates a more precise estimate and a more stable ranking.

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投票数（Vote Count）Vote Count

该模型或厂商参与评测的总次数。数量越高，结果的统计置信度越高、越不容易受单次样本影响而波动。

Total evaluation volume for the model or lab. Higher counts mean higher statistical confidence and less sensitivity to individual samples.

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开源协议（License）License

Apache/Llama：完全开源可商用；MIT：开源限制极少；Proprietary：闭源商业模型。协议决定你能否把它集成到自己的产品里。

Apache/Llama: Fully open-source, commercial use allowed; MIT: Open-source, minimal restrictions; Proprietary: Closed-source commercial model. License determines if you can integrate it into your product.

排名Rank	名次区间Rank Range	模型Model		投票数Votes	精确分 & 区间Float Score & CI	方差Variance	价格 ($/1M)Price ($/1M)	上下文Context
🥇	14 - 24	flux-2-flex Black Forest Labs · Proprietary	1172±7.0	15.0K 票votes	1172.000 [1165.0, 1179.0]	10.00 · 波动Unstable	—	—
🥈	16 - 29	flux-2-max Black Forest Labs · Proprietary	1161±7.0	11.5K 票votes	1161.000 [1154.0, 1168.0]	13.00 · 不稳Volatile	—	—
🥉	20 - 36	flux-2-pro Black Forest Labs · Proprietary	1151±6.0	16.4K 票votes	1151.000 [1145.0, 1157.0]	16.00 · 不稳Volatile	—	—
4	19 - 37	flux-2-dev Black Forest Labs · flux-non-commercial-license	1149±9.0	6.6K 票votes	1149.000 [1140.0, 1158.0]	18.00 · 不稳Volatile	—	—
5	44 - 56	flux-1-kontext-max Black Forest Labs · Proprietary	1080±10.0	4.7K 票votes	1080.000 [1070.0, 1090.0]	12.00 · 不稳Volatile	—	—
6	45 - 55	flux-2-klein-9b Black Forest Labs · flux-non-commercial-license	1079±7.0	13.7K 票votes	1079.000 [1072.0, 1086.0]	10.00 · 波动Unstable	—	—
7	51 - 58	flux-1-kontext-pro Black Forest Labs · Proprietary	1062±7.0	28.2K 票votes	1062.000 [1055.0, 1069.0]	7.00 · 波动Unstable	—	—
8	53 - 61	flux-1.1-pro Black Forest Labs · Proprietary	1051±11.0	5.9K 票votes	1051.000 [1040.0, 1062.0]	8.00 · 波动Unstable	—	—
9	60 - 65	flux-2-klein-4b Black Forest Labs · Apache 2.0	1031±7.0	13.9K 票votes	1031.000 [1024.0, 1038.0]	5.00 · 波动Unstable	—	—
10	68 - 72	flux-1-dev-fp8 Black Forest Labs · Open	979±12.0	3.9K 票votes	979.000 [967.0, 991.0]	4.00 · 稳定Stable	—	—
11	72 - 73	flux-1-kontext-dev Black Forest Labs · flux-1-dev-non-commercial-license	943±8.0	17.9K 票votes	943.000 [935.0, 951.0]	1.00 · 稳定Stable	—	—

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