Cohere Command R+ / Command A
Toronto-based foundation-model lab (Aidan Gomez, ex-Google Brain 'Attention Is All You Need' co-author). Command family is enterprise / RAG-optimised: Command A (Mar-2025, 111B dense, 256k ctx), Command R+ (104B MoE), Command R7B (smallest tier). Announced merger with Aleph Alpha April-2026. Open weights via CC-BY-NC (non-commercial); Cohere-hosted for commercial.
At a glance
- Type
- Enterprise-focused frontier model family (Command A / Command R+ / Command R7B)
- Tier
- T1
- Created
- 2019 (Cohere founded); 2024-04 (Command R+); 2025-03 (Command A)
- Latest release
- Command A (2025-03); Command R7B (2024-12)
- License
- CC-BY-NC 4.0 (weights — non-commercial only); proprietary for commercial
- Pricing
- API: Command A $2.50/$10 per 1M; Command R+ $2.50/$10; Command R7B $0.0375/$0.15; Embed + Rerank separately priced
- Funding
- $1.5B+ total raised; ~$5.5B valuation 2024 (Series D); Inovia, NVIDIA, Salesforce Ventures, Cisco, PSP investors
Taxonomy
- storage
- parametric
- retrieval
- parametric-recall
- persistence
- parametric-permanent
- update
- read-only
- unit
- weight
- governance
- opaque
- conflict
- n/a
When to use
Optimised for: enterprise RAG, reranker pipelines, customer-VPC / on-prem deployments, multi-language enterprise use
Anti-fit: not for consumer chat (no Cohere consumer app); benchmark performance trails Claude/GPT in raw reasoning; CC-BY-NC weights limit OSS commercial use
Pros & cons
Pros
Enterprise-first positioning (in-tenant / on-prem); SOTA reranker family; strong RAG performance; major enterprise customers (Oracle, RBC, Bloomberg).
Cons
Trails Anthropic/OpenAI/Google on raw frontier benchmarks; weights CC-BY-NC only; no consumer presence; merger uncertainty post-Aleph-Alpha integration.
Claims & capabilities
Command A: 111B dense, 256k ctx, 23 languages, enterprise-RAG-tuned; Command R+ best open-weights RAG model 2024; reranker + embed family integrated; Aleph Alpha merger announced Apr-2026
Technical surface
- API surface
- REST + SDK (Python, TS, Java, Go); native AWS Bedrock + Azure + Oracle + GCP
- Backend storage
- not applicable — substrate foundation model
- Deployment
- Managed cloud + customer VPC (AWS / Azure / GCP / Oracle Cloud) + on-prem; weights downloadable for non-commercial via HuggingFace
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — substrate foundation model
- MCP
- not applicable — substrate foundation model
- A2A
- not applicable — substrate foundation model
- OpenTelemetry
- not applicable — substrate foundation model
Similar systems
Other foundation models (substrate reference) in the catalog, ranked by inbound references.
- Anthropic Claude (foundation models) T1
Claude family of frontier foundation models — Sonnet 4 (workhorse), Opus 4.5 (frontier capability), Haiku 4.5 (fast/cheap). Frontier model used as substrate by Claude Code, Anthropic Memory tool, Cline, Aider, Continue.dev, Cursor, Goose, and dozens of other catalog entries. Memory in Claude is parametric (in weights) — discrete episodic memory lives outside the model in the Claude Memory tool (see Platform-provider memory section).
- OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) T1
OpenAI's foundation model family — GPT-5 (2025-08 flagship), GPT-4o (multimodal workhorse), o3/o4 reasoning series. Substrate for ChatGPT, the OpenAI API, Microsoft Copilot, Azure OpenAI, and many downstream agents in this catalog (Devin, Codex CLI, Operator, Cursor mode). Parametric memory in weights; discrete user memory ships in ChatGPT Memory feature (separate row).
- Google Gemini 3 family T1
Google DeepMind's Gemini 3 frontier model family — Gemini 3 Pro (top tier), 3 Flash (fast), 3 Nano (on-device). Substrate for Google Workspace AI, Vertex AI Agent Platform, Gemini Code Assist, Project Mariner, and Project Astra. Multimodal-native; 1M-10M context window. Largest context window of any frontier model. Used by Gemini Enterprise Agent Platform Memory Bank (separate row).
- Mistral Large 2 / Mixtral family T1
French frontier-model lab (Paris). Family includes Mistral Large 2 (123B dense, Jul-2024), Mixtral 8x22B (open-weights MoE), Mistral Small 3 (24B, open-weights Jan-2025), Codestral (code specialist). EU-headquartered alternative to US/China model labs; GDPR-friendly data residency. Distinct from the Mistral Le Chat memory feature (already in catalog) — this row covers the model family itself as substrate.
- Meta Llama 4 family T1
Meta's Llama 4 family (released 2025-04) — Scout (109B MoE, 17B active), Maverick (400B MoE, 17B active), Behemoth (2T MoE, 288B active; preview). First Llama generation to use mixture-of-experts and to be multimodal-native. Substrate for many OSS agents (Open-Interpreter, Ollama-served local agents, vLLM-served enterprise inference). Llama community license (commercial use permitted under 700M MAU threshold).
- xAI Grok 4 T1
Elon Musk's xAI frontier model — Grok 4 launched 2025-07. Trained on Colossus (100k+ GPU supercluster in Memphis). Deeply integrated with X/Twitter (real-time tweet data access). Grok 4 Heavy variant for premium tier. No frontier-tier open-weights — Grok 1 (314B MoE) is the only weight release.
Related systems
References (1)
- Cohere Embed depends on at runtime — adjacent-infrastructure cell: Cohere Embed v4; Cohere Rerank v3; Oracle Cloud Infrastructure deep integration