Command R (08-2024) vs Gemma 4 26B A4B (Comparative Analysis)
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Comparative Analysis: Command R (08-2024) vs. Gemma 4 26B A4B
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Overview
Command R (08-2024) was released 1 year before Gemma 4 26B A4B.
 Command R (08-2024) |  Gemma 4 26B A4B | |
|---|---|---|
Model Provider The organization behind this AI's development | Cohere | Google |
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | 262.1K tokens |
Release Date When this model first became publicly available | August 30, 2024 1 year ago August 30th, 2024 | April 3, 2026 3 months ago April 3rd, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R (08-2024) | Gemma 4 26B A4B | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Cohere | Gemma |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Command R (08-2024) is roughly 1.3x more expensive compared to Gemma 4 26B A4B for input tokens and roughly 1.7x more expensive for output tokens.
| Command R (08-2024) | Gemma 4 26B A4B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.12 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $0.35 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.05 per million tokens |
Benchmarks
Compare relevant benchmarks between Command R (08-2024) and Gemma 4 26B A4B.
| Command R (08-2024) | Gemma 4 26B A4B | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 25.7 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 39.3 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 11 (Artificial Analysis index; higher is better) |
At a Glance
Quick overview of what makes Command R (08-2024) and Gemma 4 26B A4B unique.
Command R (08-2024) by Cohere can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.15/M input and $0.60/M output tokens. Includes built-in content moderation for safer outputs. Released August 30th, 2024.Gemma 4 26B A4B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.12/M input and $0.35/M output tokens. Released April 3rd, 2026.Explore More Comparisons
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Best models for coding and development
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Models optimized for creative writing
📢Marketing
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💻Technology
Technical analysis and explanations
🔬Science
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