DeepSeek V3.1 vs GPT-3.5 Turbo (Comparative Analysis)
Loading comparison form...
Comparative Analysis: DeepSeek V3.1 vs. GPT-3.5 Turbo
Want to try out these models side by side?Try Magica for free
Overview
GPT-3.5 Turbo was released 2 years before DeepSeek V3.1.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 16.4K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 4.1K tokens |
Release Date When this model first became publicly available | August 21, 2025 11 months ago August 21st, 2025 | May 28, 2023 3 years ago May 28th, 2023 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | September 30, 2021 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.1 | GPT-3.5 Turbo | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V3.1 is roughly 0.5x less expensive compared to GPT-3.5 Turbo for input tokens and roughly 0.6x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.25 per million tokens | $0.50 per million tokens |
Output Token Cost Cost per million output tokens | $0.95 per million tokens | $1.50 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 V3.1 and GPT-3.5 Turbo.
Coding Index Programming performance across independent evaluations | Benchmark not available. | 10.7 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,147 Elo (#74 in Website (48.0% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.1 and GPT-3.5 Turbo unique.
Explore More Comparisons
Compare your models with top performers across different categories
Compare DeepSeek V3.1 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks
Compare GPT-3.5 Turbo with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks