Model Comparison

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

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Qwen2.5 7B Instruct outperforms in 5 benchmarks (GSM8k, LiveCodeBench, MATH, MMLU-Pro, MMLU-Redux), while Qwen2.5-Coder 7B Instruct is better at 2 benchmarks (HumanEval, MBPP).

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

610.0M diff

Qwen2.5 7B Instruct has 0.6B more parameters than Qwen2.5-Coder 7B Instruct, making it 8.7% larger.

Qwen2.5 7B Instruct

7.6Bparameters

Qwen2.5-Coder 7B Instruct

7.0Bparameters

7.6B

Qwen2.5 7B Instruct

7.0B

Qwen2.5-Coder 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Qwen2.5-Coder 7B Instruct

Input- tokens

Output- tokens

Mon May 25 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 7B Instruct

Apache 2.0

Open weights

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-09-19.

They likely represent similar generations of model development.

Qwen2.5 7B Instruct

Sep 19, 2024

1.7 years ago

Qwen2.5-Coder 7B 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

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Key Takeaways

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher GSM8k score (91.6% vs 83.9%)

Higher LiveCodeBench score (28.7% vs 18.2%)

Higher MATH score (75.5% vs 46.6%)

Higher MMLU-Pro score (56.3% vs 40.1%)

Higher MMLU-Redux score (75.4% vs 66.6%)

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher HumanEval score (88.4% vs 84.8%)

Higher MBPP score (83.5% vs 79.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2.5 7B Instruct	Qwen2.5-Coder 7B Instruct

FAQ

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

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

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks. Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2.5-Coder 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 7B Instruct compare to Qwen2.5-Coder 7B Instruct in benchmarks?

Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

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

Qwen2.5 7B Instruct supports 131K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.