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

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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%)

In our pre-release testing, Command A+ performed strongly on speed for its intelligence, reaching 281 output tokens per second. This reflects higher intelligence and speed than models such as gpt-oss-120b, but sits behind the new Pareto frontier established by Gemini 3.5 Flash

Amongst comparable models, Command A+ is competitive on intelligence vs. output tokens to run the Artificial Analysis Intelligence Index

On AA-Omniscience, our knowledge and hallucination evaluation, Command A+ fits a positive archetype where it knows its limitations: although it has relative low performance on AA-Omniscience Accuracy, it also hallucinates the least on AA-Omniscience, resulting in a fairly strong relative headline AA-Omniscience score of -4

Breakdown of individual evaluations:

See Artificial Analysis for further details and benchmarks: https://artificialanalysis.ai/models/command-a-plus