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Command R+ vs DeepSeek R1 Distill Llama 8B

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 6.4 to -1.0.

Cohere · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 6.4 to -1.0, ranking #331 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 Llama 8B

  • overall performance matters — it scores 6.4 and ranks #331 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 Llama 8B
DeepSeek
Core performance indexes
LLM Stats Score
-1.0
#369
6.4
#331
Reasoning
-1.2
#365
6.7
#322
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 Llama 8B
Math
-2.3#332
10.7#270
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 4 for DeepSeek R1 Distill Llama 8B

No common benchmarks found

Command R+ and DeepSeek R1 Distill Llama 8Bdon'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

96.0B diff

Command R+ has 96.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 1195.1% larger.

Cohere
Command R+
104.0Bparameters
DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
104.0B
Command R+
8.0B
DeepSeek R1 Distill Llama 8B

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 Llama 8B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while DeepSeek R1 Distill Llama 8B 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 Llama 8B

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while DeepSeek R1 Distill Llama 8B was released on 2025-01-20.

DeepSeek R1 Distill Llama 8B is 5 months newer than Command R+.

Command R+

Aug 30, 2024

2.2 years ago

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.8 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?

Judge for yourself.

Run your own prompts against Command R+ and DeepSeek R1 Distill Llama 8B side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
DeepSeek R1 Distill Llama 8B
Open in Playground

FAQ

Common questions about Command R+ vs DeepSeek R1 Distill Llama 8B.

Which is better, Command R+ or DeepSeek R1 Distill Llama 8B?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 6.4 to -1.0. Command R+ is made by Cohere and DeepSeek R1 Distill Llama 8B 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 Llama 8B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%.

What are the context window sizes for Command R+ and DeepSeek R1 Distill Llama 8B?

Command R+ supports 128K tokens and DeepSeek R1 Distill Llama 8B 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 Llama 8B?

Key differences include LLM Stats Score (-1.0 vs 6.4), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and DeepSeek R1 Distill Llama 8B?

Command R+ is developed by Cohere and DeepSeek R1 Distill Llama 8B is developed by DeepSeek.

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