Model Comparison

DeepSeek R1 Distill Qwen 32B vs Gemini 2.0 Flash

DeepSeek R1 Distill Qwen 32B has a slight edge in benchmark performance. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

DeepSeek R1 Distill Qwen 32B has a slight edge in benchmark performance.

Wed Apr 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than Gemini 2.0 Flash ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than Gemini 2.0 Flash ($0.40/1M tokens).

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

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

Lowest available price from all providers
Wed Apr 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
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash 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 is limited to 8,192 tokens.

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

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Gemini 2.0 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 32B

MIT

Open weights

Gemini 2.0 Flash

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 was released on 2024-12-01.

DeepSeek R1 Distill Qwen 32B is 2 months newer than Gemini 2.0 Flash.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

1mo newer
Gemini 2.0 Flash

Dec 1, 2024

1.3 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 32B'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 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Gemini 2.0 Flash

Aug 2024

Provider Availability

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

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
Has open weights
Higher LiveCodeBench score (57.2% vs 35.1%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
DeepSeekDeepSeek R1 Distill Qwen 32B
GoogleGemini 2.0 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Google
Gemini 2.0 Flash

FAQ

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

DeepSeek R1 Distill Qwen 32B has a slight edge in benchmark performance. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Gemini 2.0 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.
Gemini 2.0 Flash is 1.2x 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 costs $0.10/M input and $0.40/M output via google.
DeepSeek R1 Distill Qwen 32B supports 128K 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.
Key differences include context window (128K vs 1.0M), input pricing ($0.12 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Gemini 2.0 Flash is developed by Google.