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DeepSeek R1 Distill Qwen 1.5B vs Gemini 2.0 Flash

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to -2.8.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 2.0 Flash leads the overall LLM Stats Score 16.6 to -2.8, ranking #209 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash 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 Qwen 1.5B

  • 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

  • overall performance matters — it scores 16.6 and ranks #209 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

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
Gemini 2.0 Flash
Google
Core performance indexes
LLM Stats Score
-2.8
#330
16.6
#209
Reasoning
-2.4
#319
16.0
#208
Coding
-4.5
#250
1.8
#221
Cost, coverage & limits
Benchmark wins
0 of 2
2 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 1.5B
Gemini 2.0 Flash
Math
5.7#262
23.6#123
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 13 for Gemini 2.0 Flash

2 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 2 benchmarks (GPQA, LiveCodeBench).

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Thu Sep 03 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 1.5B
Input- tokens
Output- tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B 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 1.5B

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B 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 1.5B

MIT

Open weights

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Gemini 2.0 Flash was released on 2024-12-01.

DeepSeek R1 Distill Qwen 1.5B is 2 months newer than Gemini 2.0 Flash.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.6 years ago

1mo newer
Gemini 2.0 Flash

Dec 1, 2024

1.8 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 1.5B'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 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

—

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 1.5B and Gemini 2.0 Flash side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Gemini 2.0 Flash
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Gemini 2.0 Flash.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Gemini 2.0 Flash?

Gemini 2.0 Flash leads the LLM Stats Score 16.6 to -2.8. DeepSeek R1 Distill Qwen 1.5B 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 1.5B compare to Gemini 2.0 Flash in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. 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 1.5B and Gemini 2.0 Flash?

DeepSeek R1 Distill Qwen 1.5B 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 1.5B and Gemini 2.0 Flash?

Key differences include LLM Stats Score (-2.8 vs 16.6), 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 1.5B and Gemini 2.0 Flash?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.

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