Model Comparison

DeepSeek R1 Distill Qwen 7B vs Command R+

Comparing DeepSeek R1 Distill Qwen 7B and Command R+ across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B 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

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 01 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

96.4B diff

Command R+ has 96.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 1264.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Cohere
Command R+
104.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
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 7B
Input- tokens
Output- tokens
Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Wed Apr 01 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B 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 7B

MIT

Open weights

Command R+

CC BY-NC

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Command R+ was released on 2024-08-30.

DeepSeek R1 Distill Qwen 7B is 5 months newer than Command R+.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.2 years ago

4mo newer
Command R+

Aug 30, 2024

1.6 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

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Key Takeaways

DeepSeek
Cohere
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Cohere
Command R+

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Command R+

DeepSeek R1 Distill Qwen 7B (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.
DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%.
DeepSeek R1 Distill Qwen 7B 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.
Key differences include licensing (MIT vs CC BY-NC). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Command R+ is developed by Cohere.