DeepSeek-V3.2-Speciale vs Gemini 3.1 Flash-Lite Comparison

Comparing DeepSeek-V3.2-Speciale and Gemini 3.1 Flash-Lite across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (Humanity's Last Exam), while Gemini 3.1 Flash-Lite is better at 0 benchmarks.

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

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 1.1x more expensive than Gemini 3.1 Flash-Lite ($0.25/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 3.6x cheaper than Gemini 3.1 Flash-Lite ($1.50/1M tokens).

In conclusion, Gemini 3.1 Flash-Lite is more expensive than DeepSeek-V3.2-Speciale.*

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

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Google
Gemini 3.1 Flash-Lite
Input tokens$0.25
Output tokens$1.50
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 3.1 Flash-Lite accepts 1,000,000 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Gemini 3.1 Flash-Lite is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Google
Gemini 3.1 Flash-Lite
Input1,000,000 tokens
Output65,536 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Flash-Lite supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Gemini 3.1 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

Gemini 3.1 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Gemini 3.1 Flash-Lite uses a proprietary license.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Gemini 3.1 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemini 3.1 Flash-Lite was released on 2026-03-03.

Gemini 3.1 Flash-Lite is 3 months newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

3 months ago

Gemini 3.1 Flash-Lite

Mar 3, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2-Speciale's cutoff date is not specified.

We can confirm Gemini 3.1 Flash-Lite's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

Gemini 3.1 Flash-Lite

Jan 2025

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. Gemini 3.1 Flash-Lite is available from Google. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Gemini 3.1 Flash-Lite

google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (30.6% vs 16.0%)
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
Google
Gemini 3.1 Flash-Lite