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DeepSeek R1 Distill Qwen 32B vs Gemini 2.0 Flash-Lite

DeepSeek R1 Distill Qwen 32B and Gemini 2.0 Flash-Lite are closely matched at 13.3 and 12.5 on the LLM Stats Score. Gemini 2.0 Flash-Lite is 1.1x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and Gemini 2.0 Flash-Lite are closely matched on the overall LLM Stats Score at 13.3 and 12.5.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 2.0 Flash-Lite is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek R1 Distill Qwen 32B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash-Lite

  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2025

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
Gemini 2.0 Flash-Lite
Google
Core performance indexes
LLM Stats Score
13.3
#231
12.5
#235
Reasoning
13.5
#223
12.7
#228
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.12 / M
$0.07 / M
Output price
$0.18 / M
$0.30 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
Gemini 2.0 Flash-Lite
Math
15.2#207
18.4#169
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 13 for Gemini 2.0 Flash-Lite

1 shared

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Gemini 2.0 Flash-Lite is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.7x more expensive than Gemini 2.0 Flash-Lite ($0.07/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.7x cheaper than Gemini 2.0 Flash-Lite ($0.30/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Gemini 2.0 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 01 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash-Lite accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 Qwen 32B

Text
Images
Audio
Video

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 Qwen 32B

MIT

Open weights

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B 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 Qwen 32B.

DeepSeek R1 Distill Qwen 32B

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 Qwen 32B'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 Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Gemini 2.0 Flash-Lite

Jun 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Gemini 2.0 Flash-Lite is available from Google.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Gemini 2.0 Flash-Lite side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Gemini 2.0 Flash-Lite
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Gemini 2.0 Flash-Lite.

Which is better, DeepSeek R1 Distill Qwen 32B or Gemini 2.0 Flash-Lite?

DeepSeek R1 Distill Qwen 32B and Gemini 2.0 Flash-Lite are closely matched on the LLM Stats Score at 13.3 and 12.5. DeepSeek R1 Distill Qwen 32B 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 Qwen 32B compare to Gemini 2.0 Flash-Lite in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite is 1.7x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Gemini 2.0 Flash-Lite?

DeepSeek R1 Distill Qwen 32B supports 128K 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 Qwen 32B and Gemini 2.0 Flash-Lite?

Key differences include LLM Stats Score (13.3 vs 12.5), context window (128K vs 1.0M), input pricing ($0.12 vs $0.07/M), 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 32B and Gemini 2.0 Flash-Lite?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemini 2.0 Flash-Lite is developed by Google.

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