Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Gemini 1.5 Pro

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 1 benchmark (GPQA).

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Mon May 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mon May 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Gemini 1.5 Pro 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 1.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Gemini 1.5 Pro 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 1.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Gemini 1.5 Pro was released on 2024-05-01.

DeepSeek R1 Distill Qwen 1.5B is 9 months newer than Gemini 1.5 Pro.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

8mo newer
Gemini 1.5 Pro

May 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

Gemini 1.5 Pro

Nov 2023

Outputs Comparison

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Key Takeaways

Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher GPQA score (59.1% vs 33.8%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Gemini 1.5 Pro.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Gemini 1.5 Pro?

Gemini 1.5 Pro significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Gemini 1.5 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Gemini 1.5 Pro in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Gemini 1.5 Pro?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Gemini 1.5 Pro supports 2.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and Gemini 1.5 Pro?

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

Who makes DeepSeek R1 Distill Qwen 1.5B and Gemini 1.5 Pro?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Gemini 1.5 Pro is developed by Google.