Command R+ vs Mistral Large 2
Mistral Large 2 leads the LLM Stats Score 7.4 to -0.5. Command R+ is 6.9x cheaper per token.
Cohere · Mistral AI · Updated for 2026
Which is better?
Mistral Large 2 leads the overall LLM Stats Score 7.4 to -0.5, ranking #288 overall.
In the 2 individual benchmarks reported for both models, Mistral Large 2 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Command R+ is roughly 6.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- cost matters — it's about 6.9x cheaper per token
- you want the most recent training data — it shipped Aug 2024
Choose Mistral Large 2
- overall performance matters — it scores 7.4 and ranks #288 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
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+ · 5 for Mistral Large 2
Command R+ outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (GSM8k, MMLU).
Mistral Large 2 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 8.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 6.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 19.0B more parameters than Command R+, making it 18.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Mistral Large 2 was released on 2024-07-24.
Command R+ is 1 month newer than Mistral Large 2.
Aug 30, 2024
2.0 years ago
1mo newerJul 24, 2024
2.1 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 Large 2 is available from Google, Mistral AI.
Command R+
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Mistral Large 2.