Model Comparison

Gemini 1.0 Pro vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU).

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Gemini 1.0 Pro

Input32,760 tokens

Output8,192 tokens

Qwen2.5 14B Instruct

Input- tokens

Output- tokens

Fri May 08 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 7 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

1.6 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Qwen2.5 14B Instruct's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Qwen2.5 14B Instruct's cutoff date.

Gemini 1.0 Pro

Feb 2024

Qwen2.5 14B Instruct

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Outputs Comparison

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Key Takeaways

Gemini 1.0 Pro

View details

Google

Larger context window (32,760 tokens)

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher GPQA score (45.5% vs 27.9%)

Higher MATH score (80.0% vs 32.6%)

Higher MMLU score (79.7% vs 71.8%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 1.0 Pro	Qwen2.5 14B Instruct

FAQ

Common questions about Gemini 1.0 Pro vs Qwen2.5 14B Instruct.

Which is better, Gemini 1.0 Pro or Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Qwen2.5 14B 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 Gemini 1.0 Pro compare to Qwen2.5 14B Instruct in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for Gemini 1.0 Pro and Qwen2.5 14B Instruct?

Gemini 1.0 Pro supports 33K tokens and Qwen2.5 14B 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 Gemini 1.0 Pro and Qwen2.5 14B Instruct?

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

Who makes Gemini 1.0 Pro and Qwen2.5 14B Instruct?

Gemini 1.0 Pro is developed by Google and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.