DeepSeek-V3.2-Speciale vs Gemma 3 4B
Comparing DeepSeek-V3.2-Speciale and Gemma 3 4B across benchmarks, pricing, and capabilities.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V3.2-Speciale and Gemma 3 4B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Gemma 3 4B is roughly 12.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3.2-Speciale
- you want the most recent training data — it shipped Dec 2025
Choose Gemma 3 4B
- cost matters — it's about 12.6x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale and Gemma 3 4Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 14.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 10.5x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, DeepSeek-V3.2-Speciale is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 681.0B more parameters than Gemma 3 4B, making it 17025.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
Gemma 3 4B
License
Usage and distribution terms
DeepSeek-V3.2-Speciale is licensed under MIT, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemma 3 4B was released on 2025-03-12.
DeepSeek-V3.2-Speciale is 9 months newer than Gemma 3 4B.
Dec 1, 2025
8 months ago
8mo newerMar 12, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V3.2-Speciale's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek-V3.2-Speciale's cutoff date.
—
Aug 2024
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. Gemma 3 4B is available from DeepInfra.
DeepSeek-V3.2-Speciale
Gemma 3 4B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Speciale and Gemma 3 4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2-Speciale vs Gemma 3 4B.