Model ID
nex-agi/Nex-N2.5-mini
Capabilities
Nex N2.5 Mini
Nex N2.5 Mini is a multimodal agentic model designed for long-horizon tasks involving computer use, web browsing, and visually grounded interaction. The 30B model uses a 40-layer sparse Mixture-of-Experts architecture with 256 experts and 8 activated per token, combining linear attention with full attention every fourth layer. It has a 2,048-dimensional hidden size, 16 attention heads, and 2 key-value heads, with one additional next-token prediction layer. Its vision encoder supports image and video inputs, while the model provides a 262K-token context window for extended research, knowledge work, and productivity tasks.
About this model
Nex N2.5 Mini is a multimodal agentic model designed for long-horizon tasks involving computer use, web browsing, and visually grounded interaction. The 30B model uses a 40-layer sparse Mixture-of-Experts architecture with 256 experts and 8 activated per token, combining linear attention with full attention every fourth layer. It has a 2,048-dimensional hidden size, 16 attention heads, and 2 key-value heads, with one additional next-token prediction layer. Its vision encoder supports image and video inputs, while the model provides a 262K-token context window for extended research, knowledge work, and productivity tasks.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nex-agi/Nex-N2.5-mini). Released under Apache 2.0.
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Requires nexagi/sglang:v0.5.18-nex-patch to support this model configuration.
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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