Ultramarine 1 Flash

# Ultramarine 1 Flash — Paper Instruments Source: [https://www.paperinstruments.com/ultramarine](https://www.paperinstruments.com/ultramarine) An open model for professional work Ultramarine 1 Flash is Fable\-class on knowledge work spanning finance, law, consulting, and operations\. It is also 60x cheaper than Fable\. [Technical report](https://www.paperinstruments.com/blog/ultramarine) ## 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\.15Cached input$0\.03Output$0\.50Per 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](https://www.paperinstruments.com/blog/ultramarine)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\.  [Ultramarine API](https://platform.paperinstruments.com/)[Feather](https://www.paperinstruments.com/feather)[Technical report](https://www.paperinstruments.com/blog/ultramarine)[GitHub](https://github.com/paper-instruments/feather-train)