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DeepSeek R1 Distill Llama 8B vs Gemini 2.0 Flash-Lite

DeepSeek R1 Distill Llama 8B and Gemini 2.0 Flash-Lite are closely matched at 7.5 and 12.5 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B and Gemini 2.0 Flash-Lite are closely matched on the overall LLM Stats Score at 7.5 and 12.5.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash-Lite wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 8B

  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash-Lite

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Feb 2025

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Gemini 2.0 Flash-Lite
Google
Core performance indexes
LLM Stats Score
7.5
#270
12.5
#231
Reasoning
7.7
#261
12.7
#225
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.07 / M
Output price
— / M
$0.30 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Gemini 2.0 Flash-Lite
Math
10.9#234
18.4#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 13 for Gemini 2.0 Flash-Lite

1 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Gemini 2.0 Flash-Lite is better at 1 benchmark (GPQA).

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Gemini 2.0 Flash-Lite was released on 2025-02-05.

Gemini 2.0 Flash-Lite is 1 month newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

—

Gemini 2.0 Flash-Lite

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and Gemini 2.0 Flash-Lite side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Gemini 2.0 Flash-Lite
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Gemini 2.0 Flash-Lite.

Which is better, DeepSeek R1 Distill Llama 8B or Gemini 2.0 Flash-Lite?

DeepSeek R1 Distill Llama 8B and Gemini 2.0 Flash-Lite are closely matched on the LLM Stats Score at 7.5 and 12.5. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Gemini 2.0 Flash-Lite is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 8B compare to Gemini 2.0 Flash-Lite in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Gemini 2.0 Flash-Lite?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Gemini 2.0 Flash-Lite 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 2.0 Flash-Lite?

Key differences include LLM Stats Score (7.5 vs 12.5), 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 2.0 Flash-Lite?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Gemini 2.0 Flash-Lite is developed by Google.

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