Nanbeige4.3-33B
In short: Nanbeige4.3-33B is a open-source coding AI tool. Nanbeige LLM Lab's (BOSS Zhipin) open-weight 33B model, Apache-2.0, released Oct 25, 2026 with a 512K context. Built for agentic coding and office "cowork" tasks; its own tables show 80.9 on Terminal-Bench 2.1 vs 73.0 for Qwen3.8-27B, but every number is self-reported so far. Needs serious GPUs (the sample vLLM setup uses 4) or a community MLX/GGUF quant. X Buzz Score: 72/100 (828 posts in 7 days).
Verdict: Nanbeige LLM Lab's (BOSS Zhipin) open-weight 33B model, Apache-2.0, released Oct 25, 2026 with a 512K context. Built for agentic coding and office "cowork" tasks; its own tables show 80.9 on Terminal-Bench 2.1 vs 73.0 for Qwen3.8-27B, but every number is self-reported so far. Needs serious GPUs (the sample vLLM setup uses 4) or a community MLX/GGUF quant.
Use this if you want a strong open ~30B model for self-hosted coding agents and can run it yourself.
Live X Buzz Score
🔥 72/100 Hype updated 26 Oct, 09:30 HKT
Daily X posts, last 7 days (oldest → today): 1 · 1 · 0 · 2 · 0 · 0 · 824. Score parts: volume 29.2/50, spike 25/25, engagement 18.2/25. Method
Why it's buzzing
@nanbeige · 2026-10-25🚀Excited to announce Nanbeige4.3-33B! To push the performance ceiling of small agents, our strategy in Nanbeige4.3 starts with building a powerful teacher first. Nanbeige4.3-33B delivers SOTA agentic performance among o
♥ 2,452 · ⟲ 290 · 💬 183 · 👁 335k@testingcatalog · 2026-10-25Nanbeige released Nanbeige4.3-33B, a new SOTA open model in the ~30B parameter class. > "Nanbeige4.3-33B leads on most of the benchmarks, showing strong performance in both agentic coding and cowork tasks." > Th
♥ 123 · ⟲ 2 · 💬 21 · 👁 9,637Alternatives
- NVIDIA Nemotron 3.5: NVIDIA open model family. The new 3.5 wave adds Nemotron 3.5 Super VL (120B MoE, 12B active, image + video input) and Bolt models built for local agents.
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FAQ
What is Nanbeige4.3-33B?
Nanbeige LLM Lab's (BOSS Zhipin) open-weight 33B model, Apache-2.0, released Oct 25, 2026 with a 512K context. Built for agentic coding and office "cowork" tasks; its own tables show 80.9 on Terminal-Bench 2.1 vs 73.0 for Qwen3.8-27B, but every number is self-reported so far. Needs serious GPUs (the sample vLLM setup uses 4) or a community MLX/GGUF quant.
Who should use Nanbeige4.3-33B?
Use Nanbeige4.3-33B if you want a strong open ~30B model for self-hosted coding agents and can run it yourself.
Is Nanbeige4.3-33B free?
Nanbeige4.3-33B is listed as open-source.
What are alternatives to Nanbeige4.3-33B?
Alternatives include NVIDIA Nemotron 3.5, Kimi, Claude, Claude Code.
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