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Command R+ vs DeepSeek R1 Zero

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to -0.1.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Zero leads the overall LLM Stats Score 16.2 to -0.1, ranking #209 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command R+

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose DeepSeek R1 Zero

  • overall performance matters — it scores 16.2 and ranks #209 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Command R+
Cohere
DeepSeek R1 Zero
DeepSeek
Core performance indexes
LLM Stats Score
-0.1
#311
16.2
#209
Reasoning
-0.4
#307
16.5
#201
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
DeepSeek R1 Zero
Math
-1.7#298
17.7#186
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 4 for DeepSeek R1 Zero

No common benchmarks found

Command R+ and DeepSeek R1 Zerodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

567.0B diff

DeepSeek R1 Zero has 567.0B more parameters than Command R+, making it 545.2% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek R1 Zero
671.0Bparameters
104.0B
Command R+
671.0B
DeepSeek R1 Zero

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek R1 Zero uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

DeepSeek R1 Zero

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek R1 Zero was released on 2025-01-20.

DeepSeek R1 Zero is 5 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek R1 Zero side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek R1 Zero
Open in Playground

FAQ

Common questions about Command R+ vs DeepSeek R1 Zero.

Which is better, Command R+ or DeepSeek R1 Zero?

DeepSeek R1 Zero leads the LLM Stats Score 16.2 to -0.1. Command R+ is made by Cohere and DeepSeek R1 Zero is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command R+ compare to DeepSeek R1 Zero in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.

What are the context window sizes for Command R+ and DeepSeek R1 Zero?

Command R+ supports 128K tokens and DeepSeek R1 Zero supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command R+ and DeepSeek R1 Zero?

Key differences include LLM Stats Score (-0.1 vs 16.2), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek R1 Zero?

Command R+ is developed by Cohere and DeepSeek R1 Zero is developed by DeepSeek.

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