Command A+
Cohere launches Command A+, its fastest and most powerful open-source model yet, on Product Hunt. With a 218B MoE architecture (25B active parameters), it supports reasoning, tool use, vision, long context, and multilingual workflows, and can run on just two H100 GPUs. It's designed as an enterprise workhorse for high-performance agents.
Build incredible products with world-class language AI | Cohere | Product Hunt
Build incredible products with world-class language AI
4.9•13 reviews•
661 followers
Build incredible products with world-class language AI
4.9•13 reviews•
661 followers
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AI Infrastructure Tools
We build high performance, secure language models for the enterprise. Our customizable, high-performance language models work on public, private, or hybrid clouds to ensure data security & exceptional support.
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Launches7
Reviews13
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This is the 7th launch from Cohere. View more
Command A+
Launching today
Cohere’s open enterprise workhorse
Cohere’s fastest and most powerful language model yet: an open-source model for running high-performance enterprise agents with maximum efficiency.
Free
Launch tags:Open Source•Artificial Intelligence•Development
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Previous Cohere Launches
Tiny AyaLocal, open-weight AI designed for real-world languages
Launched on April 5th, 2026
Cohere TranscribeNew state-of-the-art in open source speech recognition
Launched on March 28th, 2026
Command A ReasoningEnterprise-grade control for AI agents
Launched on August 25th, 2025
Command ACohere's most performant model for the enterprise
Launched on March 17th, 2025
View all Cohere launches
4.9
Based on 13 reviews
Review Cohere?
Reviewers describe Cohere as a quiet, reliable option rather than a flashy favorite. The lone user review calls it an underrated workhorse, especially strong for instruction-heavy workflows and high-volume prompting. Founder reviews from makers of products like Liveblocks, Stack Overflow, and CustomGPT are uniformly positive, but they add no concrete implementation details. With feedback this sparse and mostly one-sided, the clearest takeaway is steady utility and solid throughput.
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Pros
boosting search precision (2)
multi-modal embeddings (2)
Turn scattered DMs into contracts you can control and prove.
Promoted
Hunter
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Hi everyone!
Apache 2.0 on Command A+ is a big deal!
This is @Cohere’s fastest and most powerful model yet. It uses a 218B MoE architecture with 25B active parameters, built for enterprise agents that need reasoning, tool use, vision, long context, and multilingual workflows.
Command A+ can run on as little as two H100 GPUs with W4A4 quantization, which is pretty impressive considering its overall performance across agentic, multimodal, and multilingual tasks.
Love how they put it:
We want to give developers direct access to enterprise-grade agentic capabilities from experimentation to production.
Kudos!
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17h ago
used Cohere to build CustomGPT.ai Researcher
•6 reviews
We used Cohere multi-modal embeddings to select the images for the articles. We found that this works better than GPT-Vision to select high-quality images that are contextually relevant to the surrounding text. This was a hard problem to solve, and Cohere's multi-modal embedding quality helped improve the quality of the selected images.
What's great
multi-modal embeddings (2)high-quality image selection (1)
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62 views1yr ago
used Cohere to build Agora
•14 reviews
We are blown away by Cohere Embed 4’s ability to accurately surface relevant products to search queries. E-commerce data is complex, containing images and multifaceted text descriptions. Being able to represent our products in a unified embedding makes our search faster and our internal tooling more efficient.
What's great
boosting search precision (2)unified embedding (1)
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50 views12mo ago
•9 reviews
Very underrated workhorse of a large language model. Particularly useful for more instructional workflows. supports high volume prompting with ease.
What's great
large language model (1)instructional workflows (1)high volume prompting (1)
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28 views1yr ago