Command R+ vs Mistral NeMo Instruct
Command R+ and Mistral NeMo Instruct are closely matched at -0.5 and -4.8 on the LLM Stats Score. Mistral NeMo Instruct is 20.1x cheaper per token.
Cohere · Mistral AI · Updated for 2026
Which is better?
Command R+ and Mistral NeMo Instruct are closely matched on the overall LLM Stats Score at -0.5 and -4.8.
In the 4 individual benchmarks reported for both models, Command R+ wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 20.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral NeMo Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Aug 2024
Choose Mistral NeMo Instruct
- cost matters — it's about 20.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Command R+ · 8 for Mistral NeMo Instruct
Command R+ outperforms in 4 benchmarks (HellaSwag, MMLU, TruthfulQA, Winogrande), while Mistral NeMo Instruct is better at 0 benchmarks.
Command R+ significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 13.2x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 33.3x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Command R+ is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Command R+ has 92.0B more parameters than Mistral NeMo Instruct, making it 766.7% larger.
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 131,072 input tokens compared to Command R+'s 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Command R+ is limited to 128,000 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Mistral NeMo Instruct was released on 2024-07-18.
Command R+ is 1 month newer than Mistral NeMo Instruct.
Aug 30, 2024
2.1 years ago
1mo newerJul 18, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Command R+ is available from Cohere, Bedrock. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Command R+
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Mistral NeMo Instruct.