**MiniCPM5-2B – new leading ≤4B model**

> Analysis of OpenBMB&\#x27;s MiniCPM5-2B and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Artificial Analysis K Artificial Analysis Models Coding Agents Speech, Image, Video Inference Leaderboards About AI Trends Arenas K OpenBMB • Open weights model • Released September 2026 MiniCPM5-2B Intelligence, Performance & Price Analysis Compare Try it out API Provider Benchmarks Model summary Intelligence Updated \# 1 / 47 14 Artificial Analysis Intelligence Index 4 out of 4 units for Intelligence. Speed N/A Output tokens per second Unknown out of 4 units for Speed. Cost In $0.00 Out $0.00 N/A Cost per Intelligence Index task Unknown out of 4 units for Cost. Verbosity N/A Output tokens from Intelligence Index Unknown out of 4 units for Verbosity. Comparison Summary MiniCPM5-2B is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 131k tokens context window with knowledge up to December 2025. MiniCPM5-2B scores 14 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 6). Pricing for MiniCPM5-2B is $0.00 per 1M input tokens (competitively priced, median: $0.00) and $0.00 per 1M output tokens (competitively priced, median: $0.00). Technical specifications Reasoning Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. Input modality Supports: text Output modality Supports: text Knowledge cutoff Dec 31, 2025 Context window 131k ~197 A4 pages of size 12 Arial font Total parameters 2.6B License Apache 2.0 Model weights Hugging Face 47 models in this class Metrics are compared against models of the same class: Non-reasoning models → compared only with other non-reasoning models Reasoning models → compared across both reasoning and non-reasoning Open weights models → compared only with other open weights models of the same size class: Tiny: ≤4B parameters Small: 4B–40B parameters Medium: 40B–150B parameters Large: \>150B parameters Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: <$0.15 per 1M tokens $0.15–$1 per 1M tokens \>$1 per 1M tokens Model Comparison API Provider Benchmarks Highlights Updated Intelligence Artificial Analysis Intelligence Index · Higher is better Speed Output tokens per second · Higher is better Cost per Task Weighted average cost (USD) per Intelligence Index task · Lower is better Intelligence Updated Benchmarks Openness Index Intelligence Index Comparisons Cost Context Window Model Size (Open Weights Models Only) Prompt Options Intelligence Updated Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity&\#x27;s Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1 13 of 644 models Add model from specific provider Estimate (independent evaluation forthcoming) Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity&\#x27;s Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1 . See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Open Weights / Proprietary Reasoning / Non-Reasoning Text Only / Multimodal Inputs Artificial Analysis Intelligence Index by Open Weights / Proprietary Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPv...

**来源信息**
- **来源**：Hacker News：AI 热帖
- **分类**：ai-models
- **发布时间**：2026-09-08 03:49（北京时间）
- **原文**：[打开原文](https://artificialanalysis.ai/models/minicpm5-2b)