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ModelScope releases Sage-A1.5 with 256K context for scientific research workflows

AIModelScope announces Sage-A1.5, a model with 256K context, parallel research subagents, and optional verification mode for long scientific workflows. The post reports scores of 90.0 on PinchBench, 81.0 on FrontierScience-Olympiad, and 48.3 on FrontierScience-Research, ahead of Kimi-K3, GLM-5.3, and GPT-5.6-sol in its comparison.

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The post gives specific benchmark scores, context length, and open weight formats, so readers can compare Sage-A1.5 with named rival models.

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Sage-A1.5 is here, bringing 256K context, parallel research, and evidence checks to long-horizon scientific workflows.
🤖 https://modelscope.ai/collections/InternScience/Sage-A15

🏆 SOTA across scientific benchmarks: Scores 90.0 on PinchBench, 81.0 on FrontierScience-Olympiad, and 48.3 on FrontierScience-Research, ahead of Kimi-K3, GLM-5.3, and GPT-5.6-sol in the reported comparison.
🧩 Agentic Orchestration: When enabled, delegates independent investigations to parallel subagents with isolated contexts, then integrates their evidence and findings to guide subsequent work.
✅ Verification: Optional Verification Mode reviews progress, checks evidence and assumptions, and redirects stalled searches within the model's own reasoning, without a separate critic model at inference.
🔬 Open Scientific Discovery: Supports exploratory research through tool-assisted analysis and produces inspectable research artifacts, extending its use beyond predefined question answering.
🛠️ Native tool use for research: Supports APIs, code interpreters, search engines, and external tools for tool-augmented scientific reasoning and professional workflows.
⚡ Available in BF16, FP8, and GGUF F16/Q8/Q4 formats, with Transformers, vLLM, and SGLang support.
📜 Apache 2.0.

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ModelScope · x.comPublished

Original title: Sage-A1.5 is here, bringing 256K context, parallel research, and evidence checks to long-horizon scientific workflows.