Command A vs DeepSeek V3.2 (Comparative Analysis)
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Comparative Analysis: Command A vs. DeepSeek V3.2
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Overview
Command A was released 8 months before DeepSeek V3.2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 256K tokens | 163.8K 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 | December 1, 2025 7 months ago December 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | August 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command A | DeepSeek V3.2 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | DeepSeek |
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 → | Available on HuggingFace → |
Pricing
Command A is roughly 9.3x more expensive compared to DeepSeek V3.2 for input tokens and roughly 25.0x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.27 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $0.40 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.13 per million tokens |
Benchmarks
Compare relevant benchmarks between Command A and DeepSeek V3.2.
Intelligence Index Overall model quality across independent evaluations | 22.5 (Artificial Analysis index; higher is better) | 32 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 27.8 (Artificial Analysis index; higher is better) | 44.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 9.2 (Artificial Analysis index; higher is better) | 18.3 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,200 Elo (#55 in Website (50.1% win rate)) |
At a Glance
Quick overview of what makes Command A and DeepSeek V3.2 unique.
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