DeepSeek V3.2 vs Gemma 4 31B (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. Gemma 4 31B
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Overview
DeepSeek V3.2 was released 4 months before Gemma 4 31B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 262.1K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | April 2, 2026 3 months ago April 2nd, 2026 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | Gemma 4 31B | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Gemma |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V3.2 is roughly 1.9x more expensive compared to Gemma 4 31B for input tokens and roughly 1.0x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.40 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and Gemma 4 31B.
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | 29.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | 43.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | 14.4 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,200 Elo (#55 in Website (50.1% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.2 and Gemma 4 31B unique.
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Content creation and marketing tasks
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Technical analysis and explanations
🔬Science
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