Name: Black Forest Labs 多图编辑模型排行榜（2026-06-03） | AITNT
Creator: LM Arena
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Black Forest Labs,多图编辑,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 Leaderboard多图编辑✂️Multi-Image Edit

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。

2026-06-03

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上榜模型Models

参赛厂商Providers

1.1M

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
🥇	15 - 16	flux-2-max Black Forest Labs · Proprietary	1249±5.0	132.6K 票votes	1249.000 [1244.0, 1254.0]	1.00 · 稳定Stable	—	—
🥈	17 - 19	flux-2-pro Black Forest Labs · Proprietary	1238±4.0	133.2K 票votes	1238.000 [1234.0, 1242.0]	2.00 · 稳定Stable	—	—
🥉	17 - 20	flux-2-flex Black Forest Labs · Proprietary	1233±5.0	121.8K 票votes	1233.000 [1228.0, 1238.0]	3.00 · 稳定Stable	—	—
4	20 - 24	flux-2-klein-9b Black Forest Labs · flux-non-commercial-license	1213±4.0	143.1K 票votes	1213.000 [1209.0, 1217.0]	4.00 · 稳定Stable	—	—
5	23 - 25	flux-2-dev Black Forest Labs · flux-non-commercial-license	1201±6.0	72.4K 票votes	1201.000 [1195.0, 1207.0]	2.00 · 稳定Stable	—	—
6	26 - 28	flux-2-klein-4b Black Forest Labs · Apache 2.0	1167±4.0	142.7K 票votes	1167.000 [1163.0, 1171.0]	2.00 · 稳定Stable	—	—
7	33 - 36	flux-1-kontext-pro Black Forest Labs · Proprietary	1061±12.0	142.2K 票votes	1061.000 [1049.0, 1073.0]	3.00 · 稳定Stable	—	—
8	33 - 36	flux-1-kontext-max Black Forest Labs · Proprietary	1060±8.0	52.1K 票votes	1060.000 [1052.0, 1068.0]	3.00 · 稳定Stable	—	—
9	36 - 37	flux-1-kontext-dev Black Forest Labs · flux-1-dev-non-commercial-license	1035±9.0	130.5K 票votes	1035.000 [1026.0, 1044.0]	1.00 · 稳定Stable	—	—

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