by DeepSeek
Open-source code model rivaling proprietary alternatives in programming tasks.
DeepSeek V3 is a 671-billion parameter Mixture-of-Experts model by DeepSeek, optimized for coding and reasoning tasks. With only ~37B active parameters per inference, it delivers 82.6% HumanEval accuracy while being 35x cheaper than GPT-4o — making it one of the most cost-efficient AI coding models available.
DeepSeek V3 follows conventional LLM coding prompts:
Implement a rate limiter in Go using the token bucket algorithm.
It should support per-IP rate limiting with configurable burst
size and refill rate. Include unit tests and benchmarks.
Here's our entire codebase (50 files). Identify all SQL injection
vulnerabilities and provide fixes with line-by-line diffs.
The API supports streaming and function calling, compatible with OpenAI SDK patterns.
| Parameter | Description |
|---|---|
| temperature | Randomness 0-2 |
| max_tokens | Maximum response length |
| top_p | Nucleus sampling threshold |
| system | System prompt for role/behavior |
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