Name: Black Forest Labs 写实摄影模型排行榜（2026-07-10） | AITNT
Creator: LM Arena
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Black Forest Labs,写实摄影,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写实摄影📷Photorealistic

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

674.2K

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
🥇	19 - 28	flux-2-max Black Forest Labs · Proprietary	1161±5.0	50.6K 票votes	1161.000 [1156.0, 1166.0]	9.00 · 波动Unstable	—	—
🥈	22 - 32	flux-2-pro Black Forest Labs · Proprietary	1152±4.0	71.0K 票votes	1152.000 [1148.0, 1156.0]	10.00 · 波动Unstable	—	—
🥉	24 - 33	flux-2-flex Black Forest Labs · Proprietary	1146±5.0	63.7K 票votes	1146.000 [1141.0, 1151.0]	9.00 · 波动Unstable	—	—
4	24 - 33	flux-2-dev Black Forest Labs · flux-non-commercial-license	1146±6.0	26.8K 票votes	1146.000 [1140.0, 1152.0]	9.00 · 波动Unstable	—	—
5	51 - 53	flux-2-klein-9b Black Forest Labs · flux-non-commercial-license	1090±5.0	60.2K 票votes	1090.000 [1085.0, 1095.0]	2.00 · 稳定Stable	—	—
6	51 - 56	flux-1-kontext-max Black Forest Labs · Proprietary	1083±5.0	30.3K 票votes	1083.000 [1078.0, 1088.0]	5.00 · 波动Unstable	—	—
7	54 - 58	flux-1-kontext-pro Black Forest Labs · Proprietary	1066±5.0	159.4K 票votes	1066.000 [1061.0, 1071.0]	4.00 · 稳定Stable	—	—
8	59 - 64	flux-2-klein-4b Black Forest Labs · Apache 2.0	1047±5.0	60.9K 票votes	1047.000 [1042.0, 1052.0]	5.00 · 波动Unstable	—	—
9	60 - 66	flux-1.1-pro Black Forest Labs · Proprietary	1043±5.0	26.9K 票votes	1043.000 [1038.0, 1048.0]	6.00 · 波动Unstable	—	—
10	68 - 69	flux-1-dev-fp8 Black Forest Labs · Open	990±6.0	19.4K 票votes	990.000 [984.0, 996.0]	1.00 · 稳定Stable	—	—
11	71 - 74	flux-1-kontext-dev Black Forest Labs · flux-1-dev-non-commercial-license	935±5.0	105.1K 票votes	935.000 [930.0, 940.0]	3.00 · 稳定Stable	—	—

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