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Ling-3.0-flash Overview
This model's data has not been fully verified and benchmarks may be missing.
Ling-3.0-flash is a chat-reasoning AI model created by inclusionAI, featuring 127.5B parameters and a context window of unknown.
vLLM is a fast and easy-to-use library for LLM inference and serving, originally developed in the Sky Computing Lab at UC Berkeley, featuring state-of-the-art serving throughput, efficient management of attention key and value memory, and support for various quantization methods and hardware platforms.
Model Lineage & Specification
ling-30-flash is inclusionAI's primary release in the current family.
ling-30-flashComparable models
| Feature | Ling-3.0-flash | Solar Pro 4 | Qwen3.8 Max Preview | Nemotron 3 Ultra |
|---|---|---|---|---|
| Description | vLLM is a fast and easy-to-use library for LLM inference and serving, originally... | Solar Pro 4 is a large language model from Upstage built for enterprise workflow... | Preview Qwen flagship for million-token multimodal reasoning and long-horizon ag... | NVIDIA Nemotron 3 Ultra is a flagship open-weight frontier LLM family engineered... |
| API Identifier | ling-30-flash | upstage-solar-pro-4 | alibaba-qwen3.8-max-preview | nvidia-nemotron-3-ultra |
| Parameters | 127.5B | — | — | 550B total / 55B active |
| Context Window | unknown | 524288 | 1M tokens | 1M tokens |
| License / Type | open weights | api only | api only | open weights |
Ling-3.0-flash
vLLM is a fast and easy-to-use library for LLM inference and serving, originally...
ling-30-flashSolar Pro 4
Solar Pro 4 is a large language model from Upstage built for enterprise workflow...
upstage-solar-pro-4Qwen3.8 Max Preview
Preview Qwen flagship for million-token multimodal reasoning and long-horizon ag...
alibaba-qwen3.8-max-previewNemotron 3 Ultra
NVIDIA Nemotron 3 Ultra is a flagship open-weight frontier LLM family engineered...
nvidia-nemotron-3-ultravLLM is a fast and easy-to-use library for LLM inference and serving, originally developed in the Sky Computing Lab at UC Berkeley, featuring state-of-the-art serving throughput, efficient management of attention key and value memory, and support for various quantization methods and hardware platforms.