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Research API $0.15/M input, $0.50/M output tokens ★ Editor's pick

Ultramarine 1 Flash

Open-weights, post-trained model for finance, legal, consulting, and ops knowledge work at API prices built for volume.

Updated 2026-10-15

8.7
AI Score / 10
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Quick answer

No free tier is documented for Ultramarine 1 Flash.

Listed pricing: API $0.15/M input, $0.50/M output tokens.

Pricing not re-verified Is it free? Pricing Is it worth it?

Overview

Ultramarine 1 Flash is a post-trained open-weights model from Paper Instruments aimed at knowledge work in finance, legal, consulting, and operations. It is not a general chat app; teams call it through an API (and soon downloadable weights) when they need domain-heavy reasoning without frontier-model bills.

The pitch is leverage from a tiny lab: a five-person team post-trained GLM-5.3 Flash with roughly $300k of reinforcement learning on synthetic tasks. Public claims put it at or near Claude Fable 5 on their internal suite while costing about 60× less—around $0.13 per task versus $8.19—so the differentiator is cost-performance on professional workflows, not a new consumer UI.

I'd treat it as a specialist workhorse for document-heavy and process-heavy domains where token spend dominates. If you need a polished assistant product, multimodal creation, or a model already baked into an IDE, look elsewhere; if you want open weights plus cheap API inference for FLECO-style work, this is the lane it is competing in.

Is Ultramarine 1 Flash free?

No free tier is documented for Ultramarine 1 Flash.

Listed pricing: API $0.15/M input, $0.50/M output tokens.

No figure is estimated here for what is not published. Check Ultramarine 1 Flash's own site for the current terms.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Ultramarine 1 Flash pricing

API $0.15/M input, $0.50/M output

Live API access for Ultramarine 1 Flash; open weights expected about two weeks after the Oct 14 API launch. Check the site for rate limits and self-host options.

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Is Ultramarine 1 Flash worth it?

There is no free tier to test it on, so the plans above are the entry cost. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 8.7/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with Ultramarine 1 Flash. How we verify.

Worth it if

The strengths recorded against this entry.

  • Specialized post-training for finance, legal, consulting, and operations knowledge work
  • API pricing at $0.15/M input and $0.50/M output keeps high-volume runs cheap versus frontier chat models
  • Open-weights path planned soon after API launch for self-host and customization
  • Public claims of matching or beating Claude Fable 5 on their suite at ~60× lower cost (~$0.13 vs ~$8.19 per task)

Not worth it if

Any one of these blocks your use case.

  • Narrower than general chat models outside FLECO-style professional domains
  • Still a new API from a small team—ecosystem, tooling, and long-term reliability are unproven
  • Open weights were not same-day as the API; self-hosting depends on the promised release window
  • Benchmark wins are on Paper Instruments’ internal suite—results may not transfer to your own evals

Key features

Open Weights

Paper Instruments plans to release model weights shortly after the API launch, so teams can self-host or fine-tune rather than staying locked to a closed endpoint.

Domain Post-Train

Built by RL post-training GLM-5.3 Flash on synthetic finance, legal, consulting, and operations tasks instead of shipping a raw generalist checkpoint unchanged.

Low-Cost API

Listed at $0.15 per million input tokens and $0.50 per million output tokens, positioned for high-volume knowledge-work pipelines where frontier APIs get expensive fast.

Benchmark Focus

Marketed against Claude Fable 5 on an internal task suite with claimed parity or wins at roughly 60× lower cost—useful if your evals match that style of professional work.

How it compares

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