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DeepSeek R1 Distill Qwen 7B vs Gemini 3.8 Flash

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to 8.6.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.8 to 8.6, ranking #11 overall.

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

Choose DeepSeek R1 Distill Qwen 7B

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.8 and ranks #11 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
Gemini 3.8 Flash
Google
Core performance indexes
LLM Stats Score
8.6
#265
51.8
#11
Reasoning
8.9
#253
47.6
#21
Coding
2.2
#217
41.3
#10
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.75 / M
Output price
— / M
$3.75 / M
Context window
—
1,048,576

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 13 for Gemini 3.8 Flash

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and Gemini 3.8 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

Gemini 3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Gemini 3.8 Flash uses a proprietary license.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Gemini 3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Gemini 3.8 Flash was released on 2026-09-02.

Gemini 3.8 Flash is 20 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

Gemini 3.8 Flash

Sep 2, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while DeepSeek R1 Distill Qwen 7B's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 7B's cutoff date.

DeepSeek R1 Distill Qwen 7B

—

Gemini 3.8 Flash

Mar 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and Gemini 3.8 Flash side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Gemini 3.8 Flash
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Gemini 3.8 Flash.

Which is better, DeepSeek R1 Distill Qwen 7B or Gemini 3.8 Flash?

Gemini 3.8 Flash leads the LLM Stats Score 51.8 to 8.6. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Gemini 3.8 Flash 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 Qwen 7B compare to Gemini 3.8 Flash in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and Gemini 3.8 Flash?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and Gemini 3.8 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 Qwen 7B and Gemini 3.8 Flash?

Key differences include LLM Stats Score (8.6 vs 51.8), 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 7B and Gemini 3.8 Flash?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Gemini 3.8 Flash is developed by Google.

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