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Command A vs DeepSeek V4 Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command A and DeepSeek V4 Pro.

Cohere

Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

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DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

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Technical Specifications

SpecificationCommand ADeepSeek V4 Pro
ProviderCohereDeepSeek
Context Window256,000 tokens1,048,576 tokens
Agent SuitabilityN/A94/100
Time to First Token (TTFT)N/A280 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-03-132026-04-24

API Pricing Comparison

Input Price per Million Tokens

Command A

$2.50

DeepSeek V4 Pro

$0.43

Output Price per Million Tokens

Command A

$10.00

DeepSeek V4 Pro

$0.87

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8850.0%
Command A
DeepSeek V4 Pro
HumanEvalPython coding & logic synthesis
N/Avs8900.0%
Command A
DeepSeek V4 Pro
MATHComplex mathematical problem solving
N/Avs7460.0%
Command A
DeepSeek V4 Pro
GPQAGraduate-level expert reasoning
N/Avs4900.0%
Command A
DeepSeek V4 Pro
HellaSwagCommonsense reasoning and inference
N/Avs8750.0%
Command A
DeepSeek V4 Pro
MT-BenchMulti-turn conversation flow quality
N/Avs918.0%
Command A
DeepSeek V4 Pro

Command A Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4 Pro Quirks & Gotchas

  • โ–ธMoE architecture โ€” cold-start latency on first request, use keep-alive
  • โ–ธBest cost-performance ratio of any frontier model โ€” strong tool calling for agentic use