Cohere's flagship 104B model. RAG-focused with native multilingual support across ~10 high-resource languages. CC-BY-NC weights; commercial use via Cohere's hosted API.
- Parameters
- 104B
- Context length
- 128K
- Modality
- text
- Released
- 2024-04-04
Memory & hardware
- VRAM (fp16)
- 208 GB
- VRAM (Q4)
- 62.4 GB
- Recommended
- 2× H100 80GB
- Quantizations
- fp16, q8_0, q4_k_m
License: Mistral Research License
- SPDX
- —
- Commercial use
- No
- Modification
- Yes
- Redistribution
- Yes
Benchmarks
Hosted inference pricing
No provider we track publishes a per-token price for this model today. What each one used to offer is listed below.
No longer listed
Providers that used to serve this model. We don't republish their old rates — the dates below are the provider's own.
- togetherNot in Together AI’s serverless catalogue when we checked on 20 September 2026.Source ↗
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
ollama run command-r-plus
vllm serve CohereForAI/c4ai-command-r-plus
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("CohereForAI/c4ai-command-r-plus")
model = AutoModelForCausalLM.from_pretrained(
"CohereForAI/c4ai-command-r-plus", device_map="auto", torch_dtype="auto"
)CohereForAI/c4ai-command-r-plus Related models
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