inclusionAI
An AI research team focused on the development of large-scale language models. The team has released the Ling model series, which spans multiple versions ranging from lightweight architectures to large-scale Mixture-of-Experts configurations.
Timeline (last 90 days)
Counting the number of first-place positions held, the top organization is FINAL-Bench (11 first places), second is inclusionAI (4), and third is zai-org (4).
inclusionAI's Ling-3.1-flash takes first place on SWE-bench_Pro (68.74), SWE-bench_Multilingual (88.5), and skillsbench (68.7), while zai-org's GLM series holds first place on evaluations such as ResearchClawBench, EvasionBench, and chi-bench.
In the count of first-place finishes by organization, FINAL-Bench ranks first with 11, while inclusionAI and zai-org tie for second with 4 each.
Model organizations with Chinese backgrounds (inclusionAI, zai-org, XiaomiMiMo, deepseek-ai, MiniMaxAI, moonshotai) together took 18 first places.
AntAngelMed is based on the MoE architecture of Ling-flash-2.0 (inclusionAI), with an activation ratio of 1/32.
inclusionAI has previously released smaller-scale models such as Ling-3.0-tiny and Ling-mini-2.0.
The inclusionAI team launched the Ling-3.1-flash model.
Ling-3.1-flash's release strategy is to first offer a two-week free trial, followed by open-sourcing.
Community users are anticipating inclusionAI to release a smaller Ling-3.1-tiny version capable of running on 8GB VRAM (Q4 quantization).
The AntLing (inclusionAI) team under Ant Group has open-sourced the Ming-Image-0.1-Design series of image models on Hugging Face.
3 more timeline events
All Facts (12)
inclusionAI's Ling-3.1-flash takes first place on SWE-bench_Pro (68.74), SWE-bench_Multilingual (88.5), and skillsbench (68.7), while zai-org's GLM series holds first place on evaluations such as ResearchClawBench, EvasionBench, and chi-bench.
50%UnverifiedCounting the number of first-place positions held, the top organization is FINAL-Bench (11 first places), second is inclusionAI (4), and third is zai-org (4).
50%UnverifiedModel organizations with Chinese backgrounds (inclusionAI, zai-org, XiaomiMiMo, deepseek-ai, MiniMaxAI, moonshotai) together took 18 first places.
50%UnverifiedIn the count of first-place finishes by organization, FINAL-Bench ranks first with 11, while inclusionAI and zai-org tie for second with 4 each.
50%UnverifiedAntAngelMed is based on the MoE architecture of Ling-flash-2.0 (inclusionAI), with an activation ratio of 1/32.
50%UnverifiedCommunity users are anticipating inclusionAI to release a smaller Ling-3.1-tiny version capable of running on 8GB VRAM (Q4 quantization).
50%UnverifiedinclusionAI has previously released smaller-scale models such as Ling-3.0-tiny and Ling-mini-2.0.
50%UnverifiedThe inclusionAI team is affiliated with an AI research institution under Huawei.
50%UnverifiedLLaDA-Image was developed by the inclusionAI team
50%UnverifiedThe inclusionAI team launched the Ling-3.1-flash model.
50%UnverifiedThe AntLing (inclusionAI) team under Ant Group has open-sourced the Ming-Image-0.1-Design series of image models on Hugging Face.
50%UnverifiedThe LLaDA-Image project was developed by the inclusionAI team and has been fully released on GitHub, Hugging Face, and arXiv.
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