Nanbeige4.3-33B with 512K context tops agent benchmarks, real-world feedback sought
xdcfret1 · reddit · 2026-10-30
A Reddit user asks for real-world experience with Nanbeige4.3-33B, a 33B model with a 512K context window targeting reasoning, coding, and agentic tasks. Attached benchmark charts show it leading Gemma4-31B, Muse-Glimmer-30B, and Qwen3.8-27B on Terminal-Bench 2.1 (80.9), DeepSWE (65.5), SWE-Atlas-QnA (50.8), and Toolathlon-Verified (70.4). The poster notes it is a kv cache hog.
More from Models
- Humansand launches &Tutor, a tutor model trained by teaching a human-like learner model — techNmak · 2026-10-30
- Gemini 4 tops public coding benchmarks but drops to bottom on private tasks — Hesamation · 2026-10-30
- Codex Seems to Burn Usage Until You Open the Chat, User Suspects — machpella · 2026-10-30
- Qwen4 Spotted in qwen-code PR, Hinting at a 120B Model — giveen · 2026-10-30
- Your AI agent would cost 260% more without prompt caching, Arena data shows — arena · 2026-10-30
- EachLabs launches Lockstep recast model claiming 75% cost cut and better quality — miilesus · 2026-10-30