Command A+ vs DeepSeek-V3.2-Exp
Command A+ and DeepSeek-V3.2-Exp are closely matched at 24.0 and 28.2 on the LLM Stats Score.
Cohere · DeepSeek · Updated for 2026
Which is better?
Command A+ and DeepSeek-V3.2-Exp are closely matched on the overall LLM Stats Score at 24.0 and 28.2.
In the 1 individual benchmarks reported for both models, Command A+ wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command A+
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped May 2026
Choose DeepSeek-V3.2-Exp
- you want predictable pricing at $0.27/M input and $0.41/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Command A+ · 14 for DeepSeek-V3.2-Exp
Command A+ outperforms in 1 benchmarks (AIME 2025), while DeepSeek-V3.2-Exp is better at 0 benchmarks.
Command A+ significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V3.2-Exp has 467.0B more parameters than Command A+, making it 214.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Command A+ supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.
Command A+ can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command A+
DeepSeek-V3.2-Exp
License
Usage and distribution terms
Command A+ is licensed under Apache 2.0, while DeepSeek-V3.2-Exp uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Command A+ was released on 2026-05-20, while DeepSeek-V3.2-Exp was released on 2025-09-29.
Command A+ is 8 months newer than DeepSeek-V3.2-Exp.
May 20, 2026
4 months ago
7mo newerSep 29, 2025
11 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Command A+ and DeepSeek-V3.2-Exp side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command A+ vs DeepSeek-V3.2-Exp.