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inclusionAI · open-weights

Ling 3.1 flash 1019

Ling 3.1 flash 1019 is an open-weights language model from inclusionAI, released October 27, 2026. It has 572B parameters (mixture-of-experts, 33B active). The context window is 256K tokens.

Check it against your own PC →

Lab
inclusionAI
Released
October 27, 2026
Weights
Open mit
Parameters
572B MoE · 33B active
Context
256K
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Ling 3.1 flash 1019 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMToo large––––
12 GB VRAMToo large––––
16 GB VRAMToo large––––
24 GB VRAMToo large––––
32 GB VRAMToo large––––

Ready-made quantizations on Hugging Face: bartowski/Ling-3.1-flash-1019-GGUF · Baekpica/Ling-3.1-flash-1019-VQ-GGUF · AtomicChat/Ling-3.1-flash-1019-GGUF · mrfakename/Ling-3.1-flash-1019-abliterated · vultr/Ling-3.1-flash-1019-GGUF · auryn-macmillan/Ling-3.1-flash-1019-EXL3-1.5-1.0bpw

Benchmark results

Epoch AI has not published results for Ling 3.1 flash 1019 yet. New models are usually evaluated within days to weeks.

Links

Hugging Face: inclusionAI/Ling-3.1-flash-1019

More from inclusionAI

LBS 27B · Ling 3.0 flash Sante · Ling 3.0 tiny · Ling-1T · Ring-1T

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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