AI Coding Live News

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.

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

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
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Command Code ships GLM-5.3 FlashX: ~200 TPS, 1M-context multimodal

Command Code (@CommandCodeAI) says GLM-5.3 FlashX is live across plans and API: a high-speed variant of GLM-5.3 Flash claiming ~200 TPS, a 1M context window, and multimodal text/image/video. For coding-agent users who want high-throughput Zhipu Flash-family models, this is a ready CLI/API path.

Key Takeaways

  • GLM-5.3 FlashX is live on all Command Code plans and API.
  • Claimed ~200 TPS, 1M context, and text/image/video multimodal.
  • Targets high-throughput coding-agent workflows on Zhipu Flash-family models.
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OpenRouter: DeepSeek V4.1 Flash hits 1T tokens in 24h; ~90% cache reads at ~$0.006/M

OpenRouter reported DeepSeek V4.1 Flash processed ~1T tokens in 24 hours and is on pace for ~2.8T in 48 hours—potentially its biggest paid-model launch window. About 90% of those tokens were cache reads, priced by the market at ~$0.006/M, roughly 5x cheaper than comparable models like GLM-5.3 Flash.

Key Takeaways

  • ~1T tokens in 24h on OpenRouter; ~2.8T pace at 48h.
  • ~90% cache reads at ~$0.006/M market price.
  • About 5x cheaper cache pricing vs peers like GLM-5.3 Flash.
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Together Chat offers free GLM-5.3 and GLM-5.3 Flash with no API setup

Together AI (@togethercompute) says you can try GLM-5.3 and GLM-5.3 Flash free on Together Chat (chat.together.ai)—no API setup, just pick a model and prompt—served on secure North American infrastructure for quick hands-on access to Zhipu's latest coding/agent models.

Key Takeaways

  • Together Chat offers free GLM-5.3 and GLM-5.3 Flash with no API key setup.
  • Open chat.together.ai, pick a model, and start prompting for coding/agent trials.
  • Served on secure North American infrastructure for try-before-you-integrate workflows.
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Together: GLM-5.3 Flash cascade hits 80.9% on DeepSWE at $1.70/task

Together ran about 900 DeepSWE rollouts of GLM-5.3 vs GLM-5.3 Flash: 69.0% pass@1 at ~$3.99 per task versus 63.4% at ~$0.24, a 17x cost gap. Distillation mostly removed first-try reliability, not coverage—the pass@4 gap shrinks to 2.6 points. A Flash-then-escalate cascade reached 80.9% at about $1.70 per task, beating the full model alone at less than half the price. Coding agents should default to Flash and promote on test failure, but Flash broke an already-passing baseline in 6.9% of rollouts versus 4.4%, so diffs still need a regression gate.

Key Takeaways

  • On DeepSWE, GLM-5.3 is 69.0% pass@1 at ~$3.99; Flash is 63.4% at ~$0.24, about 17x cheaper.
  • A Flash-first cascade that escalates on test failure hits 80.9% at ~$1.70 per task.
  • Flash breaks passing baselines more often (6.9% vs 4.4%), so accept diffs only behind regression tests.
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Ollama Cloud fully rolls out GLM-5.3 and Flash for Claude Code and OpenCode

Ollama said GLM-5.3 and GLM-5.3 Flash (formerly Ox Alpha) are fully live on its cloud, hosted in the US and Europe with zero data retention. First-class launches include ollama launch claude --model glm-5.3:cloud and ollama launch opencode --model glm-5.3-flash:cloud, plus Claude Desktop and a raw API. That moves past a Flash-only preview: the full coding model now drops into the same agent harnesses developers already use, so teams can pick strength versus cost without leaving Ollama’s private endpoints.

Key Takeaways

  • GLM-5.3 and GLM-5.3 Flash are fully on Ollama Cloud with US/EU hosting and zero retention.
  • One-liners launch Claude Code and OpenCode; Claude Desktop and a generic API are supported too.
  • Full and Flash share one gateway, so agents can trade quality for cost without a new vendor stack.
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Together: GLM-5.3 beats GPT-5.6 Sol and Claude Fable 5 on agentic benchmarks

Together AI said GLM-5.3 now beats GPT-5.6 Sol and Claude Fable 5 on agentic benchmarks, with GLM-5.3 Flash close behind. Zhipu kept the GLM-5.2 base and scaled post-training—more long-horizon environments, more diverse tasks, and more RL compute—rather than training a new foundation model. For coding agents, that is a claim that post-training stack height can overtake closed flagships, and that the cheaper open-weight default is already on Together’s API.

Key Takeaways

  • Together reports GLM-5.3 ahead of GPT-5.6 Sol and Claude Fable 5 on agentic benchmarks; Flash is next.
  • The gain is post-training on the GLM-5.2 base: more long-horizon RL, not a new pretrained model.
  • Coding agents can switch to a cheaper open-weight default without waiting on a new foundation run.
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Together AI Launches GLM-5.3 Flash: Natively Multimodal 320B-A18B MoE with 1M Context Window

Together AI added GLM-5.3 Flash to its cloud inference catalog, offering native multimodal understanding, 1M context with hybrid attention, and double the DeepSWE throughput per dollar compared to proprietary peers.

Key Takeaways

  • 320B-A18B sparse MoE architecture minimizes cost per token while sustaining frontier-grade reasoning quality;
  • Native multimodality with 1M hybrid-attention context designed for comprehensive codebase inspection;
  • High-throughput enterprise hosting tailored for autonomous continuous coding loops.
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Linked Models & Agents:

Composio Evaluates 5 Open-Weight Models on 30 Multi-Step Agent Tasks: Flash Models Lead in ROI

Composio benchmarked 5 open-weight models across 30 multi-step agent tasks, finding GLM-5.3 Flash and DeepSeek-V4 Flash delivered the highest cost efficiency at a fraction of full-model pricing.

Key Takeaways

  • Flash-class models achieve near parity with full-scale weights at approximately 75% lower inference cost;
  • Multi-application tool orchestration remains the primary failure mode across all open-source models;
  • Provides empirical cost-per-success metrics to guide architectural selection for enterprise agent deployments.
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Together AI Serves GLM-5.3 Flash: 320B-A18B MoE with 1M Context Delivering 2x Work per Dollar on DeepSWE

Together AI launched hosted Day-1 inference for GLM-5.3 Flash (320B-A18B MoE, 1M context), nearly matching Luna on DeepSWE benchmarks while completing more than twice the work per dollar.

Key Takeaways

  • Day-1 managed serving of 320B-A18B MoE lowers deployment hurdles for custom hybrid-attention architectures;
  • DeepSWE evaluations demonstrate over 2x work completed per dollar compared to closed frontier models;
  • Available immediately via Together AI Model Market and unified developer API for dedicated endpoints.
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Together AI Launches Hosted GLM-5.3 Flash API: 320B Multimodal MoE with 2x Output per Budget on DeepSWE

Together AI launched hosted serverless API serving for GLM-5.3 Flash, highlighting its 320B-A18B multimodal MoE architecture, 1M context, and high DeepSWE efficiency compared to proprietary frontier models.

Key Takeaways

  • Brings 320B total / 18B active multimodal MoE into hosted serverless APIs with instant elastic scaling;
  • Native visual reasoning combined with hybrid attention reduces input token consumption for agentic workflows;
  • Matches frontier-level engineering accuracy on DeepSWE while delivering more than double the completed tasks per dollar.
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Cline Integrates Free GLM-5.3 Flash (Ox Alpha), Driving Over 11% of Agent Traffic in One Week

Cline made GLM-5.3 Flash (320B MoE, 18B active) completely free for all users via CLI, VS Code, and JetBrains, rapidly growing to exceed 11% of total Cline agent traffic within a single week.

Key Takeaways

  • Available free directly in Cline CLI, VS Code, and JetBrains via /models -> Cline Provider -> Free;
  • Features 320B total / 18B active parameters under MIT license with 1M native context window;
  • Surpassed 11% of total Cline agent traffic in under a week, marking the fastest adoption in project history.
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Cline makes GLM-5.3 Flash free: 320B-A18B model captures over 11% of total traffic in a week

Open-source extension Cline announced free in-product access to Z.ai's GLM-5.3 Flash (320B-A18B MoE, MIT license, 1M context, native multimodal). Cline reported it as the fastest-growing model in product history, capturing over 11% of total developer traffic within a week.

Key Takeaways

  • Open 320B-A18B MoE model captured >11% of Cline's total developer traffic within 7 days.
  • Features MIT license, 1M context window, and native multimodal understanding.
  • Highlights Cline's rapid distribution power for open-weight frontier coding models.
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Cline Makes GLM-5.3 Flash (Ox Alpha) Free for All Users: Driving 11%+ of Coding Traffic

Cline announced that GLM-5.3 Flash, previously previewed as Ox Alpha, is free in Cline. The 320B-parameter mixture-of-experts model with 18B active parameters is beating frontier models on benchmarks and has become Cline fastest-growing model, driving over 11% of all traffic in less than a week.

Key Takeaways

  • GLM-5.3 Flash (formerly Ox Alpha) is now completely free inside Cline across CLI, VS Code, and JetBrains.
  • The 320B MoE model activates ~18B parameters and matches or exceeds frontier models on code benchmarks.
  • It is Cline fastest-growing model, driving over 11% of total platform traffic within one week.
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