Ultramarine 1 Flash:前沿模型便宜100倍
Ultramarine 1 Flash

原始链接: https://www.paperinstruments.com/ultramarine

Ultramarine 1 Flash 是一款用于金融、法律、咨询和运营等专业知识工作的 Fable 级模型,定位为比 Fable 便宜 60 倍。它在六个基准上比 GLM-5.3 Flash 少用 6.5% 的 token,同时提供更佳的工作成果。在成本-质量前沿上,每次任务成本为 0.13 美元,得分超过 Claude Fable 5 (max) 和 GPT-5.6 Sol (max),与 Claude Opus 5.5 (max) 和 GPT-6 Sol (max) 的差距在三分以内。API 定价为每百万输入 token 0.15 美元,缓存输入 0.03 美元,输出 0.50 美元。性能基于内部 PI Knowledge Work 基准(已完成业务文档和实时系统)衡量;其得分与 Artificial Analysis Intelligence Index 强相关。该模型针对客户就绪的文本、视觉层级和专业服务规则进行了调优。模型权重即将推出。

Hacker News 新 | 过去 | 评论 | 提问 | 展示 | 工作 | 提交 登录 Ultramarine 1 Flash:前沿模型便宜 100 倍 ( paperinstruments.com ) 24 分 由 dzonga 1 天前 | 隐藏 | 过去 | 收藏 | 1 条评论 帮助 dzonga 1 天前 [–] https://x.com/bertgodel/status/2110400987622265232?s=20 启动视频 回复 考虑申请 YC 的 Winter 2027 批次!申请开放至 11 月 2 日。 指南 | 常见问题 | 列表 | API | 安全 | 法律 | 申请 YC | 联系 搜索:
Hacker News 讨论了 Ultramarine 1 Flash,这是一个基于 GLM-5.3 Flash 构建的、用于专业知识工作的智能体模型。它声称在知识工作基准测试中表现强劲,且成本远低于前沿模型。评论者就这些提升是否具有实际意义展开辩论,批评有选择地挑数据对比和误导性的基准测试展示,并指出该模型可能落后于顶尖模型。用户还讨论了用于知识工作的 harness/UI,包括 DeepSeek Harness、Radix、Feather 和 Deer Flow。其他话题包括隐私与数据保留、更便宜的开放权重替代品(如 DeepSeek)、基准测试是否反映真实工作,以及对营销声明的怀疑。有些人认为更便宜的专用模型有价值;另一些人质疑围绕开放模型构建的初创公司,以及从 Claude 等成熟工具切换的难度。整体而言,该帖混杂了对高性价比 AI 知识工作工具的兴趣与对基准测试炒作和透明度的批评。
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原文

Built for professional work

Improved token efficiency

Across the six benchmarks, Ultramarine 1 Flash generates 6.5% fewer tokens than its base, GLM-5.3 Flash, taking a shorter path to better work.

Output tokens generated across all six benchmarks, reasoning included. Where GLM-5.3 Flash’s score is a public one, its tokens come from our own runs closest to that score.

Fable-class model for cents per task

Ultramarine 1 Flash sits on the cost-quality frontier at the most attractive price point. At $0.13 per task, it outscores Claude Fable 5 (max) and GPT-5.6 Sol (max), at $8.19 and $2.09 per task, and comes within three points of Claude Opus 5.5 (max) and GPT-6 Sol (max) at $6.96 and $1.26 per task. We measure this on PI Knowledge Work, a carefully built internal benchmark whose scores correlate strongly with the Artificial Analysis Intelligence Index (r = 0.81).

Input
$0.15

Cached input
$0.03

Output
$0.50

Per million tokens on the Ultramarine API, the same as GLM-5.3 Flash.

42465054586266$0.01$0.03$0.1$0.3$1$3$10Cost per task (log scale)ScoreGLM-5.3 Flash, max reasoning: 52.0 at $0.10 per taskGPT-6 Astra, low reasoning: 60.3 at $1.22 per taskGPT-6 Astra, medium reasoning: 62.4 at $1.90 per taskGPT-6 Astra, max reasoning: 64.2 at $5.64 per taskClaude Opus 5.5, low reasoning: 53.9 at $0.49 per taskClaude Opus 5.5, medium reasoning: 57.0 at $1.10 per taskClaude Opus 5.5, high reasoning: 61.4 at $1.53 per taskClaude Opus 5.5, max reasoning: 61.9 at $6.96 per taskGPT-6 Sol, low reasoning: 55.3 at $0.15 per taskGPT-6 Sol, medium reasoning: 55.5 at $0.26 per taskGPT-6 Sol, high reasoning: 56.5 at $0.42 per taskGPT-6 Sol, max reasoning: 61.4 at $1.26 per taskClaude Fable 5, low reasoning: 50.8 at $1.82 per taskClaude Fable 5, medium reasoning: 48.6 at $2.85 per taskClaude Fable 5, max reasoning: 57.8 at $8.19 per taskClaude Fable 5.1, max reasoning: 65.5 at $8.64 per taskGPT-5.6 Sol, low reasoning: 48.8 at $0.42 per taskGPT-5.6 Sol, medium reasoning: 53.4 at $0.88 per taskGPT-5.6 Sol, high reasoning: 50.5 at $1.28 per taskGPT-5.6 Sol, max reasoning: 55.1 at $2.09 per taskMuse Spark 1.3, low reasoning: 51.2 at $0.48 per taskMuse Spark 1.3, medium reasoning: 50.7 at $0.98 per taskMuse Spark 1.3, high reasoning: 55.3 at $1.09 per taskMuse Spark 1.3, max reasoning: 54.7 at $1.58 per taskGPT-6 Luna, low reasoning: 43.2 at $0.008 per taskGPT-6 Luna, medium reasoning: 54.1 at $0.035 per taskGPT-6 Luna, high reasoning: 53.1 at $0.054 per taskGPT-6 Luna, max reasoning: 58.3 at $0.11 per taskGemini 3.8 Flash, low reasoning: 45.6 at $0.35 per taskGemini 3.8 Flash, medium reasoning: 51.0 at $0.96 per taskGemini 3.8 Flash, high reasoning: 49.4 at $1.18 per taskDeepSeek V4.1 Flash, max reasoning: 47.9 at $0.35 per taskKimi K3, max reasoning: 51.2 at $1.33 per taskGLM-5.3, max reasoning: 54.1 at $1.27 per taskDeepSeek V4 Pro, max reasoning: 54.1 at $0.43 per taskLing 3.1 Flash, reasoning: 51.6 at $0.21 per taskQwen3.8 2.4T, xhigh reasoning: 50.6 at $0.94 per taskQwen3.8 27B, xhigh reasoning: 50.1 at $0.42 per taskMiniMax M3, reasoning: 44.2 at $0.24 per taskUltramarine 1 Flash, max reasoning: 59.3 at $0.13 per taskUltramarine 1 Flash (max)GLM-5.3 Flash (max)GPT-6 Astra (low)GPT-6 Astra (medium)GPT-6 Astra (max)Claude Opus 5.5 (low)Claude Opus 5.5 (medium)Claude Opus 5.5 (high)Claude Opus 5.5 (max)GPT-6 Sol (low)GPT-6 Sol(medium)GPT-6 Sol (high)GPT-6 Sol (max)Claude Fable 5 (low)Claude Fable 5 (medium)Claude Fable 5 (max)Claude Fable 5.1 (max)GPT-5.6 Sol (low)GPT-5.6 Sol(medium)GPT-5.6 Sol (high)GPT-5.6 Sol (max)Muse Spark 1.3 (low)Muse Spark 1.3 (medium)Muse Spark 1.3 (high)Muse Spark 1.3 (max)GPT-6 Luna (low)GPT-6 Luna (medium)GPT-6 Luna (high)GPT-6 Luna (max)Gemini 3.8 Flash (low)Gemini 3.8 Flash (medium)Gemini 3.8 Flash (high)DeepSeek V4.1 Flash (max)Kimi K3 (max)GLM-5.3 (max)DeepSeek V4 Pro (max)Ling 3.1 Flash (reasoning)Qwen3.8 2.4T (xhigh)Qwen3.8 27B (xhigh)MiniMax M3 (reasoning)

PI Knowledge Work is our internal benchmark of professional work in finance, law, consulting, and operations. Its tasks ask the model to deliver finished Excel workbooks, PowerPoint decks, and Word documents, and to work inside live business systems such as ERP and MES.

A rubric written for each task scores the result on substance, accuracy, and presentation. Every model works in the same harness, and costs are at each developer's official API pricing. Read our technical report for more on the kind of professional data and evaluations that trained this model.

Crafted with a sense of client readiness

Ultramarine 1 Flash writes clean, simple, straightforward prose and has a strong sense of visual and information hierarchy. It is built to adhere to the same rules required of analysts in professional services.

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