Paper Instruments releases Ultramarine 1 Flash: non-verifiable-RL knowledge-work model on GLM-5.3 Flash, $0.13/task on its own suite, API live, weights promised
San Francisco lab Paper Instruments launched Ultramarine 1 Flash on 2026-10-14 16:02 UTC: GLM-5.3 Flash post-trained with large-scale non-verifiable RL (per-task rubric rewards) for finance, legal, consulting and operations work. Its report claims +4.1 points on average over the base across six knowledge-work benchmarks with 6.5% fewer output tokens, and 59.3 at $0.13/task on its internal PI Knowledge Work suite vs Claude Fable 5 at 57.8 / $8.19. An OpenAI-compatible API (ultramarine-1-flash) is live; the CEO says weights follow in about two weeks and post-training cost ~$300k. The headline cost comparison rests on an internal benchmark and has not been independently reproduced.
Key Takeaways
- GLM-5.3 Flash base + modified CISPO RL (LoRA rank 64, 131K context, up to 250 turns); +4.1 avg over base on 6 knowledge-work benchmarks with 6.5% fewer tokens
- JobBench 62.9 (#1, Gemini 3.8 Flash 60.6); FrontierFinance 53.3 (#1); APEX-Agents 1.1 57.0 vs Gemini 3.8 Flash 64.3
- Internal PI Knowledge Work: 59.3 at $0.13/task vs Claude Fable 5 57.8 / $8.19 and GPT-6 Sol 61.3 / $1.26
- Trade-off: slight coding regression — Terminal-Bench 2.1 83.2 (base 84.3), DeepSWE 1.1 61.5 (base 63.4)
- Curriculum: 4 domains, 19 practice areas, 88 synthetic environment types, fully synthetic tasks graded by rubrics