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Command R+ vs DeepSeek R1 Distill Qwen 7B

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.9 to 0.2.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.9 to 0.2, ranking #257 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 Distill Qwen 7B

  • overall performance matters — it scores 8.9 and ranks #257 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 Distill Qwen 7B
DeepSeek
Core performance indexes
LLM Stats Score
0.2
#305
8.9
#257
Reasoning
-0.1
#301
9.2
#247
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 Distill Qwen 7B
Math
-1.7#292
14.2#208
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 4 for DeepSeek R1 Distill Qwen 7B

No common benchmarks found

Command R+ and DeepSeek R1 Distill Qwen 7Bdon'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

96.4B diff

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

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
104.0B
Command R+
7.6B
DeepSeek R1 Distill Qwen 7B

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 7B
Input- tokens
Output- tokens
Sat Aug 29 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek R1 Distill Qwen 7B 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 7B

MIT

Open weights

Release Timeline

When each model was launched

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

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

Command R+

Aug 30, 2024

2.0 years ago

DeepSeek R1 Distill Qwen 7B

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 Distill Qwen 7B side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek R1 Distill Qwen 7B
Open in Playground

FAQ

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

Which is better, Command R+ or DeepSeek R1 Distill Qwen 7B?

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.9 to 0.2. Command R+ is made by Cohere and DeepSeek R1 Distill Qwen 7B 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 Distill Qwen 7B 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 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.

What are the context window sizes for Command R+ and DeepSeek R1 Distill Qwen 7B?

Command R+ supports 128K tokens and DeepSeek R1 Distill Qwen 7B 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 7B?

Key differences include LLM Stats Score (0.2 vs 8.9), 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 7B?

Command R+ is developed by Cohere and DeepSeek R1 Distill Qwen 7B is developed by DeepSeek.

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