Model Comparison

DeepSeek R1 Distill Qwen 32B vs Qwen2.5 32B InstructWhich is better in 2026?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Qwen 32B vs Qwen2.5 32B Instruct — which is better?

DeepSeek R1 Distill Qwen 32B (by DeepSeek) and Qwen2.5 32B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 0 benchmarks. DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Qwen 32B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5 32B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

300.0M diff

DeepSeek R1 Distill Qwen 32B has 0.3B more parameters than Qwen2.5 32B Instruct, making it 0.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
32.5B
Qwen2.5 32B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Wed Jun 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, 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.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Qwen2.5 32B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Qwen 32B is 4 months newer than Qwen2.5 32B Instruct.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.4 years ago

4mo newer
Qwen2.5 32B Instruct

Sep 19, 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

Larger context window (128,000 tokens)
Higher GPQA score (62.1% vs 49.5%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen2.5 32B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Qwen2.5 32B Instruct?

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek 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.

How does DeepSeek R1 Distill Qwen 32B compare to Qwen2.5 32B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Qwen2.5 32B Instruct?

DeepSeek R1 Distill Qwen 32B 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.

What are the main differences between DeepSeek R1 Distill Qwen 32B and Qwen2.5 32B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Qwen2.5 32B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.