DeepSeek R1 Distill Qwen 1.5B vs Gemini 2.0 Flash Comparison

Comparing DeepSeek R1 Distill Qwen 1.5B and Gemini 2.0 Flash across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 2 benchmarks (GPQA, LiveCodeBench).

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Mon Mar 16 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
Mon Mar 16 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 2.0 Flash
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 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

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

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Gemini 2.0 Flash uses a proprietary license.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek R1 Distill Qwen 1.5B is 2 months newer than Gemini 2.0 Flash.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

1mo newer
Gemini 2.0 Flash

Dec 1, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek R1 Distill Qwen 1.5B'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 DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

—

Gemini 2.0 Flash

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (62.1% vs 33.8%)
Higher LiveCodeBench score (35.1% vs 16.9%)
DeepSeekDeepSeek R1 Distill Qwen 1.5B
GoogleGemini 2.0 Flash
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Google
Gemini 2.0 Flash