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Gemini 2.0 Flash vs Qwen2.5 14B Instruct

Gemini 2.0 Flash leads the LLM Stats Score 16.5 to 4.3.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.5 to 4.3, ranking #203 overall.

In the 3 individual benchmarks reported for both models, Gemini 2.0 Flash wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash

  • overall performance matters — it scores 16.5 and ranks #203 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2.5 14B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
16.5
#203
4.3
#283
Reasoning
15.9
#202
3.7
#281
Coding
1.7
#212
4.0
#198
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash
Qwen2.5 14B Instruct
Math
23.4#119
10.8#236
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 16 for Qwen2.5 14B Instruct

3 shared

Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Qwen2.5 14B Instruct is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 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 2.0 Flash

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Qwen2.5 14B Instruct was released on 2024-09-19.

Gemini 2.0 Flash is 2 months newer than Qwen2.5 14B Instruct.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

2mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Qwen2.5 14B Instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen2.5 14B Instruct's cutoff date.

Gemini 2.0 Flash

Aug 2024

Qwen2.5 14B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Qwen2.5 14B Instruct.

Which is better, Gemini 2.0 Flash or Qwen2.5 14B Instruct?

Gemini 2.0 Flash leads the LLM Stats Score 16.5 to 4.3. Gemini 2.0 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash compare to Qwen2.5 14B Instruct in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 2.0 Flash and Qwen2.5 14B Instruct?

Gemini 2.0 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 2.0 Flash and Qwen2.5 14B Instruct?

Key differences include LLM Stats Score (16.5 vs 4.3), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Qwen2.5 14B Instruct?

Gemini 2.0 Flash is developed by Google and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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