Cohere
Command R Plus
Command R Plus AI model by Cohere.
Intelligence
63.0 #303
Top 40% tier
Output Speed
50 t/s
ITL 20.0 ms/tok
Blended price (3:1)
$1.5 /1M
In $1/M · Out $3/M
Context
128K
≈ 320 A4 pages · max out 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Command R Plus
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.
Strengths & Trade-offs
Where it wins
- Cheap prompt-cache reads at $0.1/1M
Developer Quickstart & API
Set
COHERE_API_KEY first — get an API keycurl https://api.cohere.com/compatibility/v1/chat/completions \
-H "Authorization: Bearer $COHERE_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "command-r-plus",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.cohere.com/compatibility/v1",
api_key=os.environ["COHERE_API_KEY"],
)
resp = client.chat.completions.create(
model="command-r-plus",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.cohere.com/compatibility/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.COHERE_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "command-r-plus",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);Official Resources & Links
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Scores by Source
Category Scores
Benchmark Results
Head-to-head Live Matchups
Live Specs & Architecture
Under the hood
- Prompt caching supported — cached input reads at $0.1/1M tokens.
Release date
Jan 1, 2024
Parameters
Unknown
License
Unknown
Context Window
128,000 tokens
Max Output
8,192 tokens
Modalities
text
Cache Pricing
read $0.1 · write $1.25 /1M
Reasoning
—
Input Price
$1/M
Output Price
$3/M
Output Speed
50 t/s
Time to First Token
—
Data Updated
Oct 26, 2026
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
Loading badge markdown...BibTeX
@misc{llmpodium2026commandrplus,
title = {Benchmark Analysis and Intelligence Evaluation of Command R Plus},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/command-r-plus}
}Embed Score Badge
Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.
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