Command A vs Gemini 2.5 Flash (Comparative Analysis)
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Comparative Analysis: Command A vs. Gemini 2.5 Flash
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Overview
Command A was released 3 months before Gemini 2.5 Flash.
 Command A |  Gemini 2.5 Flash | |
|---|---|---|
Model Provider The organization behind this AI's development | Cohere | Google |
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | 65.5K tokens |
Release Date When this model first became publicly available | March 13, 2025 1 year ago March 13th, 2025 | June 17, 2025 1 year ago June 17th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | January 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command A | Gemini 2.5 Flash | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📁File🖼️Image📝Text🎵Audio🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Gemini |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Command A is roughly 8.3x more expensive compared to Gemini 2.5 Flash for input tokens and roughly 4.0x more expensive for output tokens.
| Command A | Gemini 2.5 Flash | |
|---|---|---|
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $2.50 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.014 per search |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.03 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $0.08 per million tokens |
Reasoning Token Cost Cost for internal reasoning tokens | Not specified | $2.50 per million tokens |
Image Input Cost Additional cost for each image input | Not specified | $0.0000003 per image |
Audio Input Cost Additional cost for audio input | Not specified | $0.000001 per unit |
Audio Cache Cost Cost to reuse cached audio input tokens | Not specified | $0.10 per million tokens |
Benchmarks
Compare relevant benchmarks between Command A and Gemini 2.5 Flash.
| Command A | Gemini 2.5 Flash | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 22.5 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 27.8 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 9.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,159 Elo (#67 in Data Viz (48.4% win rate)) |
At a Glance
Quick overview of what makes Command A and Gemini 2.5 Flash unique.
Command A by Cohere generates structured data. It can handle standard conversations with its 256K token context window. Reasonably priced at $2.50/M input and $10.00/M output tokens. Includes built-in content moderation for safer outputs. Released March 13th, 2025.Gemini 2.5 Flash by Google understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Reasonably priced at $0.30/M input and $2.50/M output tokens. Released June 17th, 2025.Explore More Comparisons
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Compare Gemini 2.5 Flash with:
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Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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🌐Translation
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