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DeepSeek R1 Distill Llama 8B vs Gemini 2.5 Pro

Gemini 2.5 Pro leads the LLM Stats Score 27.9 to 7.2.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 2.5 Pro leads the overall LLM Stats Score 27.9 to 7.2, ranking #125 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.5 Pro wins 2; 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 2.5 Pro

  • overall performance matters — it scores 27.9 and ranks #125 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped May 2025

At a glance

The differences that matter most.

Core performance indexes
7.2
#275
27.9
#125
7.5
#267
27.3
#127
2.7
#212
13.1
#126
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.25 / M
Output price
— / M
$10.00 / 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 2.5 Pro
10.9#240
22.6#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 16 for Gemini 2.5 Pro

2 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Gemini 2.5 Pro is better at 2 benchmarks (AIME 2024, GPQA).

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Wed Sep 02 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 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.5 Pro supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Gemini 2.5 Pro 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 2.5 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Gemini 2.5 Pro uses a proprietary license.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Gemini 2.5 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Gemini 2.5 Pro was released on 2025-05-20.

Gemini 2.5 Pro is 4 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

Gemini 2.5 Pro

May 20, 2025

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

Gemini 2.5 Pro

Jan 2025

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 2.5 Pro side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Gemini 2.5 Pro
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Gemini 2.5 Pro.

Which is better, DeepSeek R1 Distill Llama 8B or Gemini 2.5 Pro?

Gemini 2.5 Pro leads the LLM Stats Score 27.9 to 7.2. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Gemini 2.5 Pro 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 2.5 Pro in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Gemini 2.5 Pro?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Gemini 2.5 Pro 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 2.5 Pro?

Key differences include LLM Stats Score (7.2 vs 27.9), 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 2.5 Pro?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Gemini 2.5 Pro is developed by Google.