# Cohere推出开源权重模型Command A+，智能指数得分达37

- 来源：Artificial Analysis (@ArtificialAnlys)
- 发布时间：2026-05-20 23:37
- AIHOT 分数：69
- AIHOT 链接：https://aihot.virxact.com/items/cmpe9892c0akdslk1dfm5tla1
- 原文链接：https://x.com/ArtificialAnlys/status/2057123594162077837

## AI 摘要

Cohere发布了开源权重模型Command A+，其在AI分析智能指数上的得分与Claude 4.5 Haiku持平。该模型核心优势为极低的幻觉率，在相关榜单上以86%领先，体现出模型“知其不知”的可靠性。在速度方面，其API输出速度超过GPT-5.4 nano等多款模型，但仍略逊于Gemini 3.1 Flash-Lite。模型在科学推理与代码生成等高难度任务上表现稍弱，但具备视觉推理能力，性能位于Claude 4.5 Haiku与GPT-5.4 nano之间。

## 正文

Cohere launches open weights model Command A+ that achieves 37 on the Artificial Analysis Intelligence Index

The release of Command A+ places @Cohere in line with Claude 4.5 Haiku on the Intelligence Index， and just above NVIDIA Nemotron 3 Super and Gemini 3.1 Flash-Lite.

Key Takeaways：

➤ Command A+ ranks first on AA-Omniscience Non-Hallucination at 86%， ~3 percentage points ahead of the next-best model. Its AA-Omniscience Accuracy is 9%， so the headline AA-Omniscience score lands at -4， demonstrating a similar archetype to Claude 4.5 Haiku， where the model knows its limits

➤ On Cohere's API， Command A+ （~281 output tokens per second） is faster than several comparable open-weights and small to mid-sized proprietary models （e.g.， GPT-5.4 nano， Claude 4.5 Haiku， and Grok 4.3）， but still slower than Gemini 3.1 Flash-Lite Preview， which outputs 304 tokens per second

➤ Command A+ trails its peer set on scientific reasoning （HLE ~11%， GPQA Diamond ~76%） and on coding （Terminal-Bench Hard ~25%， SciCode ~38%）， consistent with gaps on the hardest science and agentic coding benchmarks

➤ It supports visual reasoning and scores 63% on MMMU-Pro （between Claude 4.5 Haiku at 59% and GPT-5.4 nano （xhigh） at 65%）