DeepSeek V3 0324
deepseek-chat-v3-0324DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well... Built by DeepSeek.
Prices updated
Input price
$0.29
per 1M tokens · Standard
Output price
$1.14
per 1M tokens · Standard
Input limit
164K
tokens
Output limit
115K
tokens
Input formats
Output formats
DeepSeek V3 0324 price history
4 price records since 9/25/2026 · 2 changes
DeepSeek V3 0324 cost calculator
$12/month
Standard pricing
Overview
What is DeepSeek V3 0324?
DeepSeek V3 0324 is a text & reasoning model from DeepSeek. DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well... Its 164K context window and $0.29 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
DeepSeek V3 0324 benchmarks & speed
How DeepSeek V3 0324 scores on standardized evaluations, and where it lands among every model we track.
9.7
Intelligence Index
Reasoning
GPQA Diamond
65.5%
Graduate-level scientific reasoning · top 76%
HLE
4.7%
Humanity's Last Exam · top 83%
Coding
SciCode
39.0%
Python for scientific computing · top 82%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
DeepSeek V3 0324 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.29
Per 1M tokens
Cached input · Standard
$0.11
Per 1M tokens
Capabilities
DeepSeek V3 0324 Tools
Tools available when using DeepSeek V3 0324 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.29 per million tokens suits high-volume workloads.
- A 164K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- The 164K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider