Model Comparison

Qwen2.5-Coder 32B Instruct vs Qwen2 7B Instruct

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

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen2.5-Coder 32B Instruct outperforms in 8 benchmarks (GSM8k, HumanEval, LiveCodeBench, MATH, MBPP, MMLU, MMLU-Pro, TheoremQA), while Qwen2 7B Instruct is better at 0 benchmarks.

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

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

24.4B diff

Qwen2.5-Coder 32B Instruct has 24.4B more parameters than Qwen2 7B Instruct, making it 319.9% larger.

Qwen2.5-Coder 32B Instruct

32.0Bparameters

Qwen2 7B Instruct

7.6Bparameters

32.0B

Qwen2.5-Coder 32B Instruct

7.6B

Qwen2 7B 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).

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen2 7B Instruct

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5-Coder 32B Instruct was released on 2024-09-19, while Qwen2 7B Instruct was released on 2024-07-23.

Qwen2.5-Coder 32B Instruct is 2 months newer than Qwen2 7B Instruct.

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

1mo newer

Qwen2 7B Instruct

Jul 23, 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

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Key Takeaways

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Higher GSM8k score (91.1% vs 82.3%)

Higher HumanEval score (92.7% vs 79.9%)

Higher LiveCodeBench score (31.4% vs 26.6%)

Higher MATH score (57.2% vs 49.6%)

Higher MBPP score (90.2% vs 67.2%)

Higher MMLU score (75.1% vs 70.5%)

Higher MMLU-Pro score (50.4% vs 44.1%)

Higher TheoremQA score (43.1% vs 25.3%)

Qwen2 7B 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	Qwen2.5-Coder 32B Instruct	Qwen2 7B Instruct

FAQ

Common questions about Qwen2.5-Coder 32B Instruct vs Qwen2 7B Instruct.

Which is better, Qwen2.5-Coder 32B Instruct or Qwen2 7B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2 7B 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 Qwen2.5-Coder 32B Instruct compare to Qwen2 7B Instruct in benchmarks?

Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

What are the context window sizes for Qwen2.5-Coder 32B Instruct and Qwen2 7B Instruct?

Qwen2.5-Coder 32B Instruct supports 128K tokens and Qwen2 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.