Model Comparison

DeepSeek-V3.2-Speciale vs Gemini 1.5 Flash

Comparing DeepSeek-V3.2-Speciale and Gemini 1.5 Flash across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2-Speciale and Gemini 1.5 Flash don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 1.9x more expensive than Gemini 1.5 Flash ($0.15/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 1.4x cheaper than Gemini 1.5 Flash ($0.60/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale is more expensive than Gemini 1.5 Flash.*

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 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 1.5 Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Gemini 1.5 Flash 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 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Gemini 1.5 Flash uses a proprietary license.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemini 1.5 Flash was released on 2024-05-01.

DeepSeek-V3.2-Speciale is 19 months newer than Gemini 1.5 Flash.

DeepSeek-V3.2-Speciale

Dec 1, 2025

5 months ago

1.6yr newer
Gemini 1.5 Flash

May 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while DeepSeek-V3.2-Speciale's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

Gemini 1.5 Flash

Nov 2023

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. Gemini 1.5 Flash is available from Google.

DeepSeek-V3.2-Speciale

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

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive output tokens
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
DeepSeekDeepSeek-V3.2-Speciale
GoogleGemini 1.5 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
Google
Gemini 1.5 Flash

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Gemini 1.5 Flash.

Which is better, DeepSeek-V3.2-Speciale or Gemini 1.5 Flash?

DeepSeek-V3.2-Speciale (DeepSeek) and Gemini 1.5 Flash (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2-Speciale compare to Gemini 1.5 Flash in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%.

Is DeepSeek-V3.2-Speciale cheaper than Gemini 1.5 Flash?

Gemini 1.5 Flash is 1.9x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google.

What are the context window sizes for DeepSeek-V3.2-Speciale and Gemini 1.5 Flash?

DeepSeek-V3.2-Speciale supports 131K tokens and Gemini 1.5 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-Speciale and Gemini 1.5 Flash?

Key differences include context window (131K vs 1.0M), input pricing ($0.28 vs $0.15/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-Speciale and Gemini 1.5 Flash?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.