Model Comparison

Qwen2.5 7B Instruct vs Qwen2 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Qwen2.5 7B Instruct outperforms in 10 benchmarks (AlignBench, GPQA, GSM8k, HumanEval, LiveCodeBench, MATH, MBPP, MMLU-Pro, MT-Bench, MultiPL-E), while Qwen2 7B Instruct is better at 0 benchmarks.

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

10.0M diff

Qwen2 7B Instruct has 0.0B more parameters than Qwen2.5 7B Instruct, making it 0.1% larger.

Qwen2.5 7B Instruct

7.6Bparameters

Qwen2 7B Instruct

7.6Bparameters

7.6B

Qwen2.5 7B Instruct

7.6B

Qwen2 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 7B Instruct

Input- tokens

Output- tokens

Fri May 15 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 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Qwen2.5 7B Instruct is 2 months newer than Qwen2 7B Instruct.

Qwen2.5 7B 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher AlignBench score (73.3% vs 72.1%)

Higher GPQA score (36.4% vs 25.3%)

Higher GSM8k score (91.6% vs 82.3%)

Higher HumanEval score (84.8% vs 79.9%)

Higher LiveCodeBench score (28.7% vs 26.6%)

Higher MATH score (75.5% vs 49.6%)

Higher MBPP score (79.2% vs 67.2%)

Higher MMLU-Pro score (56.3% vs 44.1%)

Higher MT-Bench score (87.5% vs 84.1%)

Higher MultiPL-E score (70.4% vs 59.1%)

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 7B Instruct	Qwen2 7B Instruct

FAQ

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

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

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Qwen2.5 7B 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 7B Instruct compare to Qwen2 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 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 7B Instruct and Qwen2 7B Instruct?

Qwen2.5 7B Instruct supports 131K 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.