Updated minutes ago
DeepSeek Coder 33B
DeepSeek · dense · 33B parameters · 16,384 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters33B
Active Parameters33B
Layers62
Hidden Dimension7,168
Attention Heads56
KV Heads8
Head Dimension128
Vocab Size32,256
Memory Requirements
BF16 Weights
66.0 GB
FP8 Weights
33.0 GB
INT4 Weights
16.5 GB
KV-Cache per Token253952 bytes
Activation Estimate1.80 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16
GPU Recommendations
H20optimal
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.0K tok/s
Cost/Month
$940
Cost/M Tokens
$0.35
H200 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
1.1K tok/s
Cost/Month
$2553
Cost/M Tokens
$0.93
H100 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
849.3 tok/s
Cost/Month
$1794
Cost/M Tokens
$0.80
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| together | $0.80 | $0.80 | Cheapest |
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✓ Math✗ Reasoning✗ Multilingual✗ Structured Output
Supported Frameworks
vllmsglangtgitensorrt-llm
Supported Precisions
BF16 (default)FP8INT4