Model Comparison

Command R+ vs Qwen2.5 32B Instruct

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Command R+ outperforms in 3 benchmarks (ARC-C, HellaSwag, Winogrande), while Qwen2.5 32B Instruct is better at 3 benchmarks (GSM8k, MMLU, TruthfulQA).

Both models are evenly matched across the benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

71.5B diff

Command R+ has 71.5B more parameters than Qwen2.5 32B Instruct, making it 220.0% larger.

Cohere
Command R+
104.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
104.0B
Command R+
32.5B
Qwen2.5 32B Instruct

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
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Mon Apr 06 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Qwen2.5 32B Instruct uses Apache 2.0.

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

Command R+

CC BY-NC

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Qwen2.5 32B Instruct was released on 2024-09-19.

Qwen2.5 32B Instruct is 1 month newer than Command R+.

Command R+

Aug 30, 2024

1.6 years ago

Qwen2.5 32B Instruct

Sep 19, 2024

1.5 years ago

2w 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)
Higher ARC-C score (71.0% vs 70.4%)
Higher HellaSwag score (88.6% vs 85.2%)
Higher Winogrande score (85.4% vs 82.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GSM8k score (95.9% vs 70.7%)
Higher MMLU score (83.3% vs 75.7%)
Higher TruthfulQA score (57.8% vs 56.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

Common questions about Command R+ vs Qwen2.5 32B Instruct

Both models are evenly matched across the benchmarks. Command R+ is made by Cohere and Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.
Command R+ supports 128K tokens and Qwen2.5 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (CC BY-NC vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.