Cohere Command R vs DeepSeek R2

Name: Cohere Command R
Brand: Cohere
SKU: cohere-command-r

Looking for an honest Cohere Command R vs DeepSeek R2 comparison in 2026? We scored both ai language models on the same six-dimension framework — performance, battery, display, camera, design and value — using identical methodology, so the numbers below are directly comparable. In our overall scoring the DeepSeek R2 comes out ahead 36/100 to 78/100 — a 42-point gap. The widest gap is in design and build, where the DeepSeek R2 pulls noticeably ahead.

Cohere

Command R

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AI Matrix

DeepSeek R2 clearly outperforms the Cohere Command R in the ai language models category, especially in design, scoring 78 vs 36. If you want the better overall ai language models, DeepSeek R2 is the recommended choice.

Reviewed by VersusMatrix Editorial Team|Our methodology

4 Reasons Why DeepSeek R2 Is Better

1.Better performance score: 94 vs 23
2.Higher camera score: 90 vs 38
3.Higher design rating: 100 vs 0
4.Higher overall score: 78 vs 36

Détail des scores

Cohere Command RDeepSeek R2

Benchmark (MMLU)30% weight

DeepSeek R2 Gagnant

Cost Efficiency20% weight

Égalité

Arena ELO20% weight

100

DeepSeek R2 Gagnant

Context Window10% weight

Égalité

Speed (tok/s)10% weight

Cohere Command R Gagnant

Coding (HumanEval)10% weight

DeepSeek R2 Gagnant

Scores are relative within the ai language modelscategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.

Cohere Command R

✓ Pros

●Better display score

✗ Cons

●Lower camera score
●Lower performance score

DeepSeek R2

Gagnant

✓ Pros

●Higher performance score
●Better camera score
●Better design score

✗ Cons

●Lower display score

💰 Token Pricing (per 1M tokens)

Lower cost = better value. Free = open-source self-hosted.

Metric	Command R	DeepSeek R2
Input (Prompt)	✓$0.15/1M	$0.55/1M
Output (Completion)	✓$0.60/1M	$2.19/1M
Open Source	Proprietary	✓ Free

⚡ Context Window & Speed

Context Window (tokens)

Command R128K

DeepSeek R2128K

Metric	Command R	DeepSeek R2
Max Output	4,096 tok	✓8,192 tok
Speed	✓150 tok/s	30 tok/s
Time to First Token	✓400ms	1.5s
Languages	10+	✓40+

📊 Benchmark Scores

Higher is better. Industry-standard AI evaluation benchmarks.

Command R

DeepSeek R2

MMLU (Knowledge)

68.2|93.0

Command R

DeepSeek R2

HumanEval (Coding)

75.0|96.0

Command R

DeepSeek R2

MATH (Mathematics)

45.0|95.0

Command R

DeepSeek R2

GPQA (Expert Q&A)

30.0|88.0

Command R

DeepSeek R2

Chatbot Arena ELO

1147.0|1420.0

Command R

DeepSeek R2

🔧 Capabilities

Feature	Command R	DeepSeek R2
Reasoning / Chain-of-Thought	✕	✓
Vision (Image Input)	✕	✕
Audio Input	✕	✕
Video Input	✕	✕
Image/Audio Output	✕	✕
Function Calling / Tools	✓	✓
JSON Mode	✓	✓
Real-time Web Access	✕	✕
Fine-tuning Support	✓	✕
Batch API	✓	✕
Streaming	✓	✓
RAG Optimized	✓	—
Open Source	✕	✓

ℹ️ Model Details

Field	Command R	DeepSeek R2
Provider	Cohere	DeepSeek
Parameters	35B	671B
Knowledge Cutoff	2024-03	2025-06
Best For	RAGenterprise searchcitationscost efficiency	reasoningmathsciencecodingcost efficient

Qui devrait acheter

Buy Cohere Command R if…

The Cohere Command R is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.

Buy DeepSeek R2 if…

Buy the DeepSeek R2 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.