Ling-3.0-flash pairs a 1M-token context with agent benchmarks and free access on OpenRouter
FellMentKE · x · 2026-07-24
The post introduces Ling-3.0-flash as a hybrid-reasoning MoE model for coding agents and says it is free on OpenRouter. The attached architecture diagram highlights a 157k vocabulary, 1M-token context support, a gated MLA + MoE stack, and a training objective combining next-token prediction with multi-token prediction.
The benchmark image compares the model against several competitors across code and agent tasks, including:
- SWE-Bench Pro and Multilingual
- Terminal-Bench v2.1-AA
- Tau3-banking-AA
- MCP-Atlas, SkillsBench, WideSearch, BrowseComp, IFBench, SysBench, MRCR-128k, and Multi-IF
The overall message is that Ling-3.0-flash is positioned as a fast, self-correcting coding partner with broad agent-evaluation coverage.
Related event: Ant Group Releases Ling-3.0-flash MoE Model(12 posts)→
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