Model Comparison

DeepSeek-V3.2-Exp vs Gemini 2.5 Flash

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 2.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3.2-Exp outperforms in 5 benchmarks (Aider-Polyglot, AIME 2025, Humanity's Last Exam, SimpleQA, SWE-Bench Verified), while Gemini 2.5 Flash is better at 1 benchmark (GPQA).

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.1x cheaper than Gemini 2.5 Flash ($0.30/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 6.1x cheaper than Gemini 2.5 Flash ($2.50/1M tokens).

In conclusion, Gemini 2.5 Flash is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 2.5 Flash accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Both models can generate responses up to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Gemini 2.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Gemini 2.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Gemini 2.5 Flash uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Gemini 2.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemini 2.5 Flash was released on 2025-05-20.

DeepSeek-V3.2-Exp is 4 months newer than Gemini 2.5 Flash.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

4mo newer
Gemini 2.5 Flash

May 20, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Gemini 2.5 Flash

Jan 2025

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Gemini 2.5 Flash is available from Google.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Gemini 2.5 Flash

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (74.5% vs 61.9%)
Higher AIME 2025 score (89.3% vs 72.0%)
Higher Humanity's Last Exam score (19.8% vs 11.0%)
Higher SimpleQA score (97.1% vs 26.9%)
Higher SWE-Bench Verified score (67.8% vs 60.4%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (82.8% vs 79.9%)
DeepSeekDeepSeek-V3.2-Exp
GoogleGemini 2.5 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Google
Gemini 2.5 Flash

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemini 2.5 Flash.

Which is better, DeepSeek-V3.2-Exp or Gemini 2.5 Flash?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Gemini 2.5 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Exp compare to Gemini 2.5 Flash in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%.

Is DeepSeek-V3.2-Exp cheaper than Gemini 2.5 Flash?

DeepSeek-V3.2-Exp is 1.1x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Gemini 2.5 Flash costs $0.30/M input and $2.50/M output via google.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemini 2.5 Flash?

DeepSeek-V3.2-Exp supports 164K tokens and Gemini 2.5 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-V3.2-Exp and Gemini 2.5 Flash?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $0.30/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Gemini 2.5 Flash?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemini 2.5 Flash is developed by Google.