Updated minutes ago
DALL-E 3
OpenAI · dense · 3.5B parameters · 4,096 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters3.5B
Active Parameters3.5B
Layers32
Hidden Dimension2,560
Attention Heads32
KV Heads32
Head Dimension80
Vocab Size100,000
Memory Requirements
BF16 Weights
7.0 GB
FP8 Weights
3.5 GB
INT4 Weights
1.8 GB
KV-Cache per Token163840 bytes
Activation Estimate1.00 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
RTX 4070 Tioptimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
349.9 tok/s
Cost/Month
$237
Cost/M Tokens
$0.26
RTX 3080optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
527.6 tok/s
Cost/Month
$133
Cost/M Tokens
$0.10
RTX 4070 Superoptimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
349.9 tok/s
Cost/Month
$209
Cost/M Tokens
$0.23
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| openai | $40.00 | $40.00 | Cheapest |
Capabilities
Features
✗ Tool Use✓ Vision✗ Code✗ Math✗ Reasoning✓ Multilingual✗ Structured Output
Supported Frameworks
Supported Precisions
BF16 (default)