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DeepSeek R1 Distill Qwen 14B vs Gemini 2.0 Flash

DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash are closely matched at 11.3 and 16.5 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash are closely matched on the overall LLM Stats Score at 11.3 and 16.5.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose DeepSeek R1 Distill Qwen 14B

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash

  • you want predictable pricing at $0.10/M input and $0.40/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 14B
DeepSeek
Gemini 2.0 Flash
Google
Core performance indexes
LLM Stats Score
11.3
#239
16.5
#203
Reasoning
11.6
#236
15.9
#202
Coding
5.5
#182
1.7
#212
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.40 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
Gemini 2.0 Flash
Math
13.5#213
23.4#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 13 for Gemini 2.0 Flash

2 shared

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (LiveCodeBench), while Gemini 2.0 Flash is better at 1 benchmark (GPQA).

Both models are evenly matched across the 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 specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
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 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Gemini 2.0 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 14B

MIT

Open weights

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek R1 Distill Qwen 14B is 2 months newer than Gemini 2.0 Flash.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

1mo newer
Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.

DeepSeek R1 Distill Qwen 14B

—

Gemini 2.0 Flash

Aug 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Gemini 2.0 Flash
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Gemini 2.0 Flash.

Which is better, DeepSeek R1 Distill Qwen 14B or Gemini 2.0 Flash?

DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash are closely matched on the LLM Stats Score at 11.3 and 16.5. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Gemini 2.0 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 14B compare to Gemini 2.0 Flash in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Gemini 2.0 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 14B and Gemini 2.0 Flash?

Key differences include LLM Stats Score (11.3 vs 16.5), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Gemini 2.0 Flash?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.

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