Model Comparison

Gemini 1.5 Flash vs Qwen2.5 14B InstructWhich is better in 2026?

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.

Verdict: Gemini 1.5 Flash vs Qwen2.5 14B Instruct — which is better?

Gemini 1.5 Flash (by Google) and Qwen2.5 14B 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.

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 14B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MATH, MMLU). Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.

Choose Gemini 1.5 Flash if…

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose Qwen2.5 14B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 14B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MATH, MMLU).

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 1.5 Flash

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 5 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.1 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

1.7 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Qwen2.5 14B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen2.5 14B Instruct's cutoff date.

Gemini 1.5 Flash

Nov 2023

Qwen2.5 14B Instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (51.0% vs 45.5%)
Higher MMLU-Pro score (67.3% vs 63.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GSM8k score (94.8% vs 86.2%)
Higher HumanEval score (83.5% vs 74.3%)
Higher MATH score (80.0% vs 77.9%)
Higher MMLU score (79.7% vs 78.9%)
GoogleGemini 1.5 Flash
Alibaba Cloud / Qwen TeamQwen2.5 14B Instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Gemini 1.5 Flash vs Qwen2.5 14B Instruct.

Which is better, Gemini 1.5 Flash or Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks. Gemini 1.5 Flash 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 1.5 Flash compare to Qwen2.5 14B Instruct in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. 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 1.5 Flash and Qwen2.5 14B Instruct?

Gemini 1.5 Flash supports 1.0M 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 1.5 Flash and Qwen2.5 14B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and Qwen2.5 14B Instruct?

Gemini 1.5 Flash is developed by Google and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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