โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Command R (08-2024) vs Mistral Nemo

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R (08-2024) and Mistral Nemo.

Cohere

Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

View Full Specs
Mistral

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

View Full Specs

Technical Specifications

SpecificationCommand R (08-2024)Mistral Nemo
ProviderCohereMistral
Context Window128,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-08-302024-07-19

API Pricing Comparison

Input Price per Million Tokens

Command R (08-2024)

$0.15

Mistral Nemo

$0.02

Output Price per Million Tokens

Command R (08-2024)

$0.60

Mistral Nemo

$0.03

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Command R (08-2024) Quirks & Gotchas

No developer gotchas reported.

Mistral Nemo Quirks & Gotchas

No developer gotchas reported.