Ling-3.0-flash debuts with 124B parameters and 5.1B active per token
aftahi_ai · x · 2026-07-27
- AntLingAGI says it has released Ling-3.0-flash, a hybrid-reasoning MoE model aimed at production-scale agents.
- The model uses 124B total parameters with only 5.1B active per token.
- The quote claims it can match or beat the company’s 1T flagship model on most of the benchmarks shown, while using only 1/8 of the total parameters and 1/12 of the active parameters.
- The repost adds that Ling 3.0 Flash is free until August 3, encouraging people to test reasoning, coding, and long-context performance in real workflows.
Related event: Ant Group Releases Ling-3.0-flash Hybrid Reasoning Model(2 posts)→
More from Models
- LiquidAI's LFM2.5-2.6B Hits 82 tok/s Decode on Mac with 128K Context — helloiamleonie · 2026-08-05
- Researcher Notes 'Procrastination' in 5p6 Sol Extra High Model — RylanSchaeffer · 2026-08-05
- Stress-Testing DeepSeek Subscriptions: Does It Beat Gemini Flash in Value? — teortaxesTex · 2026-08-05
- Best Local LLMs for Coding on a 128GB Mac? — Electronic_Back1502 · 2026-08-05
- Open Source AI Hits a Wall in Long-Running Agentic Loops — bindureddy · 2026-08-05
- Dev: I'd rather iterate 10 times with Gemini 3.6 Flash than wait 2 hours with Qwen 3.8 max — DynamicWebPaige · 2026-08-05