Phi 3.5 Vision
Microsoft · dense · 4.2B parameters · 131,072 context
Parameters
4.2B
Context Window
128K tokens
Architecture
Dense
Best GPU
A4000
Intelligence Brief
Phi 3.5 Vision is a 4.2B parameter DENSE model from Microsoft, featuring Multi-Head Attention (MHA) with 32 layers and 3,072 hidden dimensions. With a 131,072 token context window, it supports vision, structured output, code, math. For self-hosted inference, A4000 delivers optimal throughput at $161/month.
Architecture Details
Memory Requirements
BF16 Weights
8.4 GB
FP8 Weights
4.2 GB
INT4 Weights
2.1 GB
GPU Compatibility Matrix
Phi 3.5 Vision is compatible with 98% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
100/100
score
Throughput
259.2 tok/s
Latency (ITL)
3.9ms
Est. TTFT
1ms
Cost/Month
$161
Cost/M Tokens
$0.24
BF16 · 1 GPU · vllm
100/100
score
Throughput
414.8 tok/s
Latency (ITL)
2.4ms
Est. TTFT
0ms
Cost/Month
$304
Cost/M Tokens
$0.28
BF16 · 1 GPU · vllm
100/100
score
Throughput
291.6 tok/s
Latency (ITL)
3.4ms
Est. TTFT
1ms
Cost/Month
$237
Cost/M Tokens
$0.31
Deployment Options
API Deployment
No API pricing available
Single GPU
A4000
$161/mo
Min VRAM: 4 GB
Multi-GPU
RTX 3070 x2
375.3 tok/s
TP· $171/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (A4000, BF16)
Precision Impact
bf16
8.4 GB
weights/GPU
~259.2 tok/s
fp8
4.2 GB
weights/GPU
int4
2.1 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Phi 3.5 Vision
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does Phi 3.5 Vision need for inference?
Phi 3.5 Vision requires approximately 8.4 GB of VRAM at BF16 precision, 4.2 GB at FP8, or 2.1 GB at INT4 quantization. Additional VRAM is needed for KV-cache (393216 bytes per token) and activations (~0.50 GB).
What is the best GPU for Phi 3.5 Vision?
The top recommended GPU for Phi 3.5 Vision is the A4000 using BF16 precision. It achieves approximately 259.2 tokens/sec at an estimated cost of $161/month ($0.24/M tokens). Score: 100/100.
How much does Phi 3.5 Vision inference cost?
Phi 3.5 Vision inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.