AI Launch Profile
Introducing Command R7B
Cohere released Command R7B, a compact R-series model focused on speed, efficiency, RAG, tool use, and agentic behavior.
At a glance
Launch Snapshot
- Company
- Cohere
- Launch date
- December 13, 2024
- Launch type
- Open-Source Release
- Category
- AI Infrastructure, AI Open-Weight Models
- Audience
- Developers, Edge AI Builders, Enterprises, Researchers
- Pricing
- Available through Cohere Platform pricing and open weights on Hugging Face.
- Free plan
- Yes
- API
- Yes
- Open weights/source
- Yes
Launch Context
Use these links to move from this record into the broader Launch Intelligence database.
Verification & Sources
- Status
- Verified
- Source links
- 3
- Freshness
- Needs recheck: verified June 8, 2026
- Last verified
- June 8, 2026
- Last updated
- June 11, 2026
Key source checks
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Kingy Launch Score
7.0 / 10 · Solid
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 7.5/10 — The Cohere post, the changelog, and the Hugging Face model — three first-party sources. cohere.com
- Product evidence 7.5/10 — A compact R-series model with open weights on Hugging Face and access through the Cohere platform. huggingface.co
- Significance & novelty 6.0/10 — The record frames it as adding small-model coverage to the enterprise and open-weight model map, focused on speed, RAG, tool use, and agentic behavior. cohere.com
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.5/10 — Available through Cohere Platform pricing and as open weights on Hugging Face. cohere.com
Evidence checked 2026-07-11
Creator Coverage Next Steps
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Kingy AI Take
Cohere released Command R7B, a compact R-series model focused on speed, efficiency, RAG, tool use, and agentic behavior, with open weights on Hugging Face (cohere.com). Developers and Edge AI Builders got a small footprint with long context and tool use for cost-sensitive apps. Small models need careful evaluation on the exact RAG and agent tasks they are expected to perform, so benchmark on your own workload first.
Who it is for
Teams that need a smaller model for RAG, tool use, local or low-cost deployment, and enterprise assistant workflows.
Traction notes
Command R7B adds small-model coverage to the hub's enterprise and open-weight model map.
Source-backed record