cohere · Balanced
Cohere: Command R+
104B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents
- Input
- Text
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $2.86
- Output
- $14.25
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 4.1K
- Average output (7 days)
- 146 tokens
- Longer than 15% of 468 models
Side by side
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Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
5.3
Better than 1% of 326 scored models
Reasoning and knowledge
Humanity’s Last Exam
4.6%Expert-level questions across academic fields
Better than 13% of 323 scored models
GPQA Diamond
32.3%Graduate-level science questions
Better than 2% of 291 scored models
MMLU-Pro
43.2%Multi-subject knowledge and reasoning
Better than 1% of 132 scored models
Coding
LiveCodeBench
12.2%Recent competitive programming problems
Better than 3% of 129 scored models
Math
AIME
0.7%Competition mathematics
Better than 2% of 72 scored models
MATH-500
27.9%Competition math problems
Better than 0% of 73 scored models
Scores from Artificial Analysis, updated Oct 26, 2026.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "cohere/command-r-plus-08-2024",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="cohere/command-r-plus-08-2024",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)cohere
Related models
Other cohere models, starting with the same family.