Command R+: RAG and Tool-Use
Enterprise retrieval-augmented generation (RAG) model specialized in grounded citation generation and multilingual workflows.
MODEL INTELLIGENCE
Independent analysis of frontier and open models, with practical context on quality, deployment, and cost.
Enterprise retrieval-augmented generation (RAG) model specialized in grounded citation generation and multilingual workflows.
14B dense model for edge. MIT-style license is the procurement win, not GPT-4 replacement.
TTS API. Consent for clones beats any MOS table.
Faster Whisper Large v3. Benchmark WER on your accents; diarization is extra.
Black Forest Labs API photoreal stack. Open FLUX.dev/schnell are cousins, not Pro.
Fill-in-the-middle model. Chat-only evals are the wrong test.
High-throughput multimodal workhorse featuring 1M context, native tool use, and near-instantaneous time-to-first-token.
Frontier generalist model featuring real-time web grounding, multimodal reasoning, and coding task acceleration.
V3 is the general MoE, R1 is the reasoner. Do not mix benches.
Flagship European frontier model offering 128k context, strong multilingual support, and native tool-calling capabilities.
Verified AI Compute & Privacy
Deploy models on verified GPU cloud hops (Vast.ai / Lambda) or secure remote inference nodes with zero-logging dedicated IP tunnels (NordVPN).