DeepSeek V3-0324
DeepSeek · moe · 685B parameters · 131,072 context
Parameters
685B
Context Window
128K tokens
Architecture
MoE
Best GPU
B200 NVL (pair)
Cheapest API
$0.42/M
Quality Score
81/100
Intelligence Brief
DeepSeek V3-0324 is a 685B parameter Mixture-of-Experts (256 experts, 8 active) model from DeepSeek, featuring Grouped Query Attention (GQA) with 61 layers and 7,168 hidden dimensions. With a 131,072 token context window, it supports tools, structured output, code, math, multilingual, reasoning. On standardized benchmarks, it achieves MMLU 87.1, HumanEval 65, GSM8K 89.3. The most cost-effective API deployment is via deepseek at $0.42/M output tokens. For self-hosted inference, B200 NVL (pair) delivers optimal throughput at $39858/month.
Architecture Details
Memory Requirements
BF16 Weights
1370.0 GB
FP8 Weights
685.0 GB
INT4 Weights
342.5 GB
Fits on (multi-GPU with Tensor Parallelism)
Multi-GPU configurations use Tensor Parallelism (TP) to split model layers across GPUs. Requires NVLink or NVSwitch interconnect for optimal performance.
This model requires multi-GPU deployment. Minimum: 2x Groq LPU (230GB each) with Tensor Parallelism.
GPU Compatibility Matrix
DeepSeek V3-0324 is compatible with 1% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
FP8 · 4 GPUs · tensorrt-llm
98/100
score
Throughput
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$39858
Cost/M Tokens
$108.33
FP8 · 8 GPUs · tensorrt-llm
93/100
score
Throughput
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$34088
Cost/M Tokens
$92.65
FP8 · 8 GPUs · tensorrt-llm
90/100
score
Throughput
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$20422
Cost/M Tokens
$55.51
Deployment Options
API Deployment
deepseek
$0.42/M
output tokens
Single GPU
Requires multi-GPU setup (685 GB VRAM needed)
Multi-GPU
B200 NVL (pair) x4
140.0 tok/s
TP· $39858/mo
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| deepseek | $0.28 | $0.42 | Cheapest |
| together | $0.50 | $2.80 |
Cost Analysis
| Provider | Input $/M | Output $/M | ~Monthly Cost |
|---|---|---|---|
| deepseekBest Value | $0.28 | $0.42 | $4 |
| together | $0.50 | $2.80 | $17 |
Cost per 1,000 Requests
Short (500 tok)
$0.22
via deepseek
Medium (2K tok)
$0.90
via deepseek
Long (8K tok)
$3.08
via deepseek
Performance Estimates
Throughput by GPU
VRAM Breakdown (B200 NVL (pair), FP8)
Precision Impact
bf16
342.5 GB
weights/GPU
fp8
171.3 GB
weights/GPU
~140.0 tok/s
int4
85.6 GB
weights/GPU
Quality Benchmarks
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy DeepSeek V3-0324
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Frequently Asked Questions
How much VRAM does DeepSeek V3-0324 need for inference?
DeepSeek V3-0324 requires approximately 1370.0 GB of VRAM at BF16 precision, 685.0 GB at FP8, or 342.5 GB at INT4 quantization. Additional VRAM is needed for KV-cache (31232 bytes per token) and activations (~3.00 GB).
What is the best GPU for DeepSeek V3-0324?
The top recommended GPU for DeepSeek V3-0324 is the B200 NVL (pair) (x4) using FP8 precision. It achieves approximately 140.0 tokens/sec at an estimated cost of $39858/month ($108.33/M tokens). Score: 98/100.
How much does DeepSeek V3-0324 inference cost?
DeepSeek V3-0324 API inference starts from $0.28/M input tokens and $0.42/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.