Model Comparison

DeepSeek R1 Distill Qwen 14B vs Gemini 2.5 Flash-Lite

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while Gemini 2.5 Flash-Lite is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 License.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Gemini 2.5 Flash-Lite is 5 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Gemini 2.5 Flash-Lite

Jun 17, 2025

9 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.

DeepSeek R1 Distill Qwen 14B

—

Gemini 2.5 Flash-Lite

Jan 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Higher LiveCodeBench score (53.1% vs 33.7%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (64.6% vs 59.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Google
Gemini 2.5 Flash-Lite

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Gemini 2.5 Flash-Lite

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Gemini 2.5 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%.
DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Gemini 2.5 Flash-Lite supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Gemini 2.5 Flash-Lite is developed by Google.