OPEN LINK ↗
// 2h agoMODEL RELEASE
Nanbeige4.3-33B launches with 512K context
Nanbeige LLM Lab released this 33B open-weight coding and agent model under Apache 2.0, with a 524,288-token context window. Its model card reports strong Terminal-Bench 2.1 and AIME 2026 results, though the comparisons remain lab-reported. Model card: https://huggingface.co/Nanbeige/Nanbeige4.3-33B
// ANALYSIS
Nanbeige4.3-33B looks like a compelling open model for long-horizon coding agents, but its headline benchmark lead needs independent verification.
- –Reports 80.9 on Terminal-Bench 2.1 versus 73.0 for Qwen3.8-27B, plus 65.5 on DeepSWE versus 42.5.
- –The 512K context and `preserve_thinking` mode target multi-turn tool use and large codebases.
- –It does not win every evaluation: Qwen leads on SWE-Bench Pro and GDPval, while Gemma leads on GPQA Diamond.
- –BF16 deployment requires roughly 66 GB of weights before KV-cache overhead, making multi-GPU or quantized inference practical necessities. [Technical coverage](https://www.marktechpost.com/2026/10/25/nanbeige-releases-nanbeige4-3-33b-open-agentic-coding-model/)
- –Apache 2.0 improves commercial usability, but developers should run their own evaluations before replacing established coding models.
// TAGS
nanbeige4-3-33bllmopen-weightslong-contextai-codingcoding-agentbenchmarkinference
DISCOVERED
2h ago
2026-10-26
PUBLISHED
2h ago
2026-10-26
RELEVANCE
9/ 10
AUTHOR
CGenai25884