面壁 MiniCPM5 2B 实测：工具调用与长上下文领先，完整智能体任务不及 Raon-1 nano

OpenBMB· @OpenBMB · X·2026-11-13 09:27· 1 小时前AI 评分52

AI 导读

面壁智能 OpenBMB 转发用户 @PaulGug 对 Raon-1 nano 等 5 个小模型的本地智能体实测，并致谢社区测试。实测中 MiniCPM5 2B 在工具调用（99%）和长上下文（92%）上领先，但完整智能体任务总分（150/300）低于 Raon-1 nano 的 163；Raon-1 nano 完成 96/96 次测试、约 187 tok/s，作者更推荐它做多步智能体工作，MiniCPM5 2B 适合工具密集或长上下文场景，实测在 RTX 3080 上进行且量化档位不同，非受控榜单。

正文 · 原文

Thanks for the detailed real-world testing! 💙 Great to see MiniCPM5 2B performing so well on tool calling and long-context tasks. Love seeing the community explore where different small models shine! 🙌

引用GooGZ AI@PaulGug

Raon-1 nano follow-up. @Krafton_AI's launch chart was confident, so I put it through my personal-agent tests against the four other small models cited (on my RTX 3080).
Short version: Two models came out on top, each in a different way.
Full agent tasks, reasoning off (PA Core, out of 300):
@Krafton_AI Raon-1 nano: 163
MiniCPM5 2B: 150
LFM3 1.7B: 149
Gemma 4 E2B: 124
Qwen 3.5 2B: 114
Individual skills, reasoning off:
@OpenBMB's MiniCPM5 leads on tool calling (99%) and long context (92%)
Raon is solid but lower (86% and 75%), with strong instruction following (93%)
So the model that's best at the individual skills wasn't the one that did best on the full agent tasks.
Raon-1 nano is the pick for multi-step agent work. It finished all 96 attempts with zero failures, runs at ~187 tok/s, and is ~2GB at Q4.
MiniCPM5 2B is the pick for tool-heavy or long-context work, where it was the most accurate small model I tested.
With reasoning on, most in this class run out of thinking budget on the agent tasks, so for a responsive local agent I'd run either with reasoning off.
(NB: Not a controlled leaderboard: Raon is 3.2B total (~1.6B core) at Q4, and MiniCPM5 ran at Q8. It's the best each managed on my setup. LFM3 also has the known '</think>' tag issue, so those results are omitted)
Amazing how far 2B class intelligence has come along. Nice work @Krafton_AI - Let's get this into the upstream llama build! (and shout-out to @OpenBMB also).👏

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