Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Command R+

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and Command R+ 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.

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

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).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Command R+

CC BY-NC

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

4mo newer
Command R+

Aug 30, 2024

1.7 years ago

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

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

Larger context window (128,000 tokens)

Detailed Comparison

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

FAQ

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

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

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

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

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

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

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Command R+ supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Command R+?

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

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

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