Command R7B (12-2024) vs GPT-4.1 Mini (Comparative Analysis)
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Comparative Analysis: Command R7B (12-2024) vs. GPT-4.1 Mini
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Overview
Command R7B (12-2024) was released 4 months before GPT-4.1 Mini.
 Command R7B (12-2024) |  GPT-4.1 Mini | |
|---|---|---|
Model Provider The organization behind this AI's development | Cohere | OpenAI |
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | 32.8K tokens |
Release Date When this model first became publicly available | December 14, 2024 1 year ago December 14th, 2024 | April 14, 2025 1 year ago April 14th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R7B (12-2024) | GPT-4.1 Mini | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Cohere | GPT |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
Command R7B (12-2024) is roughly 0.10x less expensive compared to GPT-4.1 Mini for input tokens and roughly 0.09x less expensive for output tokens.
| Command R7B (12-2024) | GPT-4.1 Mini | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.40 per million tokens |
Output Token Cost Cost per million output tokens | $0.15 per million tokens | $1.60 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.10 per million tokens |
Benchmarks
Compare relevant benchmarks between Command R7B (12-2024) and GPT-4.1 Mini.
| Command R7B (12-2024) | GPT-4.1 Mini | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 14.8 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 20.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 1.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,127 Elo (#77 in Game Dev (58.5% win rate)) |
At a Glance
Quick overview of what makes Command R7B (12-2024) and GPT-4.1 Mini unique.
Command R7B (12-2024) by Cohere generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.04/M input and $0.15/M output tokens. Includes built-in content moderation for safer outputs. Released December 14th, 2024.GPT-4.1 Mini by OpenAI understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.40/M input and $1.60/M output tokens. Includes built-in content moderation for safer outputs. Released April 14th, 2025.Explore More Comparisons
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Best models for coding and development
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Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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