Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Gemini 1.5 Flash 8B

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Gemini 1.5 Flash 8B is better at 1 benchmark (GPQA).

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Thu Apr 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
Thu Apr 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 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
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Model Size

Parameter count comparison

6.2B diff

Gemini 1.5 Flash 8B has 6.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 349.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

Gemini 1.5 Flash 8B 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 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Gemini 1.5 Flash 8B 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 Flash 8B

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 Flash 8B was released on 2024-03-15.

DeepSeek R1 Distill Qwen 1.5B is 10 months newer than Gemini 1.5 Flash 8B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

10mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, 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 Flash 8B

Oct 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (38.4% vs 33.8%)
DeepSeekDeepSeek R1 Distill Qwen 1.5B
GoogleGemini 1.5 Flash 8B
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Gemini 1.5 Flash 8B

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Gemini 1.5 Flash 8B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.
DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Gemini 1.5 Flash 8B 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 Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Gemini 1.5 Flash 8B is developed by Google.