Command R+ vs GPT-4.1 mini
GPT-4.1 mini leads the LLM Stats Score 14.3 to -0.1. Command R+ is 1.6x cheaper per token.
Cohere · OpenAI · Updated for 2026
Which is better?
GPT-4.1 mini leads the overall LLM Stats Score 14.3 to -0.1, ranking #222 overall.
In the 1 individual benchmarks reported for both models, GPT-4.1 mini wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Command R+ is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 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+
- cost matters — it's about 1.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-4.1 mini
- overall performance matters — it scores 14.3 and ranks #222 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
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+ · 28 for GPT-4.1 mini
Command R+ outperforms in 0 benchmarks, while GPT-4.1 mini is better at 1 benchmark (MMLU).
GPT-4.1 mini 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 1.6x cheaper than GPT-4.1 mini ($0.40/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 1.6x cheaper than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, GPT-4.1 mini is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Command R+'s 128,000 tokens. Command R+ can generate longer responses up to 128,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 mini supports multimodal inputs, whereas Command R+ does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
GPT-4.1 mini
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while GPT-4.1 mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while GPT-4.1 mini was released on 2025-04-14.
GPT-4.1 mini is 8 months newer than Command R+.
Aug 30, 2024
2.0 years ago
Apr 14, 2025
1.4 years ago
7mo newerKnowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Command R+'s cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Command R+'s cutoff date.
—
May 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. GPT-4.1 mini is available from OpenAI.
Command R+
GPT-4.1 mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and GPT-4.1 mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs GPT-4.1 mini.