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Command R vs DeepSeek V3 0324

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 R and DeepSeek V3 0324.

Cohere

Command R

Command R is Cohere's lightweight, cost-efficient model engineered for high-speed enterprise integrations, productivity automation, and retrieval-augmented generation (RAG) pipelines. Optimized for low-latency API tool use and structured JSON output, it is particularly effective in enterprise search and question-answering systems where fast, reliable responses are critical. With a 128,000-token context window and a price of $0.15/MTok for input, Command R provides strong RAG performance and multilingual support at a fraction of the cost of Command R+, making it the preferred choice for teams scaling intelligent document retrieval at high request volumes.

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DeepSeek

DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

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Technical Specifications

SpecificationCommand RDeepSeek V3 0324
ProviderCohereDeepSeek
Context Window128,000 tokens163,840 tokens
Agent Suitability78/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-112025-03-24

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

DeepSeek V3 0324

$0.24

Output Price per Million Tokens

Command R

$0.60

DeepSeek V3 0324

$0.90

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
7100.0%vsN/A
Command R
DeepSeek V3 0324
HumanEvalPython coding & logic synthesis
7300.0%vsN/A
Command R
DeepSeek V3 0324
MATHComplex mathematical problem solving
5400.0%vsN/A
Command R
DeepSeek V3 0324
GPQAGraduate-level expert reasoning
3500.0%vsN/A
Command R
DeepSeek V3 0324
HellaSwagCommonsense reasoning and inference
7800.0%vsN/A
Command R
DeepSeek V3 0324
MT-BenchMulti-turn conversation flow quality
750.0%vsN/A
Command R
DeepSeek V3 0324

Command R Quirks & Gotchas

  • โ–ธCost-effective RAG model โ€” strong multilingual search performance
  • โ–ธLimited agentic capability โ€” use Command R+ for complex multi-step tool use

DeepSeek V3 0324 Quirks & Gotchas

No developer gotchas reported.