DeepSeek V4 Pro vs Gemma 4 31B (Comparative Analysis)
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Comparative Analysis: DeepSeek V4 Pro vs. Gemma 4 31B
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Overview
Gemma 4 31B was released 22 days before DeepSeek V4 Pro.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 384K tokens | 262.1K tokens |
Release Date When this model first became publicly available | April 24, 2026 3 months ago April 24th, 2026 | April 2, 2026 3 months ago April 2nd, 2026 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V4 Pro | Gemma 4 31B | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text🎬Video |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, HighDefault: High | 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 V4 Pro is roughly 3.1x more expensive compared to Gemma 4 31B for input tokens and roughly 2.2x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.43 per million tokens | $0.14 per million tokens |
Output Token Cost Cost per million output tokens | $0.87 per million tokens | $0.40 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.0036 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V4 Pro and Gemma 4 31B.
Intelligence Index Overall model quality across independent evaluations | 44.3 (Artificial Analysis index; higher is better) | 29.4 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 59.4 (Artificial Analysis index; higher is better) | 43.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 36.4 (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 | 1,310 Elo (#11 in 3D (58.8% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V4 Pro and Gemma 4 31B unique.
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Compare Gemma 4 31B with:
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Best models for coding and development
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Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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Multilingual translation tasks