Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5-Coder 32B InstructWhich is better in 2026?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Verdict: DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5-Coder 32B Instruct — which is better?

DeepSeek R1 Distill Qwen 1.5B (by DeepSeek) and Qwen2.5-Coder 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 1.5B outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (LiveCodeBench). Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Choose DeepSeek R1 Distill Qwen 1.5B if…

  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5-Coder 32B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (LiveCodeBench).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

30.2B diff

Qwen2.5-Coder 32B Instruct has 30.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 1697.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen2.5-Coder 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 1.5B

MIT

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Qwen2.5-Coder 32B Instruct.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 years ago

4mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.8 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

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

Larger context window (128,000 tokens)
Higher LiveCodeBench score (31.4% vs 16.9%)

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5-Coder 32B Instruct.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Qwen2.5-Coder 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 1.5B compare to Qwen2.5-Coder 32B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Qwen2.5-Coder 32B Instruct?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 1.5B and Qwen2.5-Coder 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 1.5B and Qwen2.5-Coder 32B Instruct?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.