Model Comparison

DeepSeek R1 Distill Llama 8B vs Gemini 1.5 Flash

Gemini 1.5 Flash significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Gemini 1.5 Flash significantly outperforms across most benchmarks.

Sun May 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Sun May 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Gemini 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Gemini 1.5 Flash uses a proprietary license.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Gemini 1.5 Flash was released on 2024-05-01.

DeepSeek R1 Distill Llama 8B is 9 months newer than Gemini 1.5 Flash.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

8mo newer
Gemini 1.5 Flash

May 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

Gemini 1.5 Flash

Nov 2023

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (51.0% vs 49.0%)
DeepSeekDeepSeek R1 Distill Llama 8B
GoogleGemini 1.5 Flash

Detailed Comparison

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

FAQ

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

Which is better, DeepSeek R1 Distill Llama 8B or Gemini 1.5 Flash?

Gemini 1.5 Flash significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Gemini 1.5 Flash 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 Llama 8B compare to Gemini 1.5 Flash in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Gemini 1.5 Flash?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Gemini 1.5 Flash supports 1.0M 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 Llama 8B and Gemini 1.5 Flash?

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 Llama 8B and Gemini 1.5 Flash?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.