 DeepSeek V3 0324 | ||
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | |
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 163.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 163.8K tokens |
Release Date When this model first became publicly available | September 2, 2025 1 month ago September 2nd, 2025 | March 24, 2025 7 months ago March 24th, 2025 |
Cogito V2 Preview Deepseek 671B | DeepSeek V3 0324 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | DeepSeek |
Key Features Advanced capabilities | Function CallingStructured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| DeepSeek V3 0324 | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $1.25 per million tokens | $0.24 per million tokens |
Output Token Cost Cost per million outut tokens | $1.25 per million tokens | $0.84 per million tokens |
| DeepSeek V3 0324 | ||
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
DeepSeek V3 0324 by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.24/M input and $0.84/M output tokens. Released March 24th, 2025.Compare your models with top performers across different categories
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