Model ID
inclusionAI/Ling-3.0-flash
Capabilities
Ling 3.0 Flash
Ling 3.0 Flash is a 124B-parameter native hybrid-reasoning Mixture-of-Experts model with only 5.1B active parameters, optimized for efficient long-context reasoning and production deployment. Its 42-layer architecture combines 35 Kimi Delta Attention (KDA) layers with 7 gated MLA layers in a 5:1 pattern, alongside 512 routed experts with 8 activated per token and 1 shared expert. Designed for complex agentic workflows, it incorporates training across 10,000+ interactive environments for coding, general, and deep-research agents, with support for context lengths up to 256K.
About this model
Ling 3.0 Flash is a 124B-parameter native hybrid-reasoning Mixture-of-Experts model with only 5.1B active parameters, optimized for efficient long-context reasoning and production deployment. Its 42-layer architecture combines 35 Kimi Delta Attention (KDA) layers with 7 gated MLA layers in a 5:1 pattern, alongside 512 routed experts with 8 activated per token and 1 shared expert. Designed for complex agentic workflows, it incorporates training across 10,000+ interactive environments for coding, general, and deep-research agents, with support for context lengths up to 256K.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (inclusionAI/Ling-3.0-flash). Released under MIT. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · SGLang. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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