Model Comparison

Command R+ vs DeepSeek R1 Distill Qwen 1.5B

Comparing Command R+ and DeepSeek R1 Distill Qwen 1.5B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and DeepSeek R1 Distill Qwen 1.5B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

102.2B diff

Command R+ has 102.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 5742.7% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
104.0B
Command R+
1.8B
DeepSeek R1 Distill Qwen 1.5B

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 Distill Qwen 1.5B
Input- tokens
Output- tokens
Mon Jun 01 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek R1 Distill Qwen 1.5B 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 Distill Qwen 1.5B

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20.

DeepSeek R1 Distill Qwen 1.5B is 5 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 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→

Key Takeaways

Cohere
Larger context window (128,000 tokens)
DeepSeek

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
DeepSeek
DeepSeek R1 Distill Qwen 1.5B

FAQ

Common questions about Command R+ vs DeepSeek R1 Distill Qwen 1.5B.

Which is better, Command R+ or DeepSeek R1 Distill Qwen 1.5B?

Command R+ (Cohere) and DeepSeek R1 Distill Qwen 1.5B (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to DeepSeek R1 Distill Qwen 1.5B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%.

What are the context window sizes for Command R+ and DeepSeek R1 Distill Qwen 1.5B?

Command R+ supports 128K tokens and DeepSeek R1 Distill Qwen 1.5B 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 Distill Qwen 1.5B?

Key differences include licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek R1 Distill Qwen 1.5B?

Command R+ is developed by Cohere and DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek.