GPT-4o Mini
OpenAI · dense · 8B parameters · 128,000 context
Parameters
8B
Context Window
125K tokens
Architecture
Dense
Best GPU
A30
Cheapest API
$0.60/M
Quality Score
72/100
Intelligence Brief
GPT-4o Mini is a 8B parameter DENSE model from OpenAI, featuring Grouped Query Attention (GQA) with 32 layers and 4,096 hidden dimensions. With a 128,000 token context window, it supports tools, vision, structured output, code, math, multilingual. On standardized benchmarks, it achieves MMLU 82, HumanEval 62, GSM8K 87. The most cost-effective API deployment is via openai at $0.60/M output tokens. For self-hosted inference, A30 delivers optimal throughput at $332/month.
Architecture Details
Memory Requirements
BF16 Weights
16.0 GB
FP8 Weights
8.0 GB
INT4 Weights
4.0 GB
GPU Compatibility Matrix
GPT-4o Mini is compatible with 90% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
100/100
score
Throughput
314.9 tok/s
Latency (ITL)
3.2ms
Est. TTFT
1ms
Cost/Month
$332
Cost/M Tokens
$0.40
BF16 · 1 GPU · vllm
100/100
score
Throughput
340.2 tok/s
Latency (ITL)
2.9ms
Est. TTFT
1ms
Cost/Month
$370
Cost/M Tokens
$0.41
BF16 · 1 GPU · vllm
100/100
score
Throughput
315.9 tok/s
Latency (ITL)
3.2ms
Est. TTFT
1ms
Cost/Month
$180
Cost/M Tokens
$0.22
Deployment Options
API Deployment
openai
$0.60/M
output tokens
Single GPU
A30
$332/mo
Min VRAM: 8 GB
Multi-GPU
RTX 3060 x2
190.4 tok/s
TP· $114/mo
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| openai | $0.15 | $0.60 | Cheapest |
Cost Analysis
| Provider | Input $/M | Output $/M | ~Monthly Cost |
|---|---|---|---|
| openaiBest Value | $0.15 | $0.60 | $4 |
Cost per 1,000 Requests
Short (500 tok)
$0.20
via openai
Medium (2K tok)
$0.78
via openai
Long (8K tok)
$2.40
via openai
Performance Estimates
Throughput by GPU
VRAM Breakdown (A30, BF16)
Quality Benchmarks
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy GPT-4o Mini
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does GPT-4o Mini need for inference?
GPT-4o Mini requires approximately 16.0 GB of VRAM at BF16 precision, 8.0 GB at FP8, or 4.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (16384 bytes per token) and activations (~1.00 GB).
What is the best GPU for GPT-4o Mini?
The top recommended GPU for GPT-4o Mini is the A30 using BF16 precision. It achieves approximately 314.9 tokens/sec at an estimated cost of $332/month ($0.40/M tokens). Score: 100/100.
How much does GPT-4o Mini inference cost?
GPT-4o Mini API inference starts from $0.15/M input tokens and $0.60/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.