FLUX.1 Dev
Black Forest Labs · dense · 12B parameters · 512 context
Parameters
12B
Context Window
1K tokens
Architecture
Dense
Best GPU
A100 40GB SXM
Cheapest API
$25.00/M
Intelligence Brief
FLUX.1 Dev is a 12B parameter DENSE model from Black Forest Labs, featuring Multi-Head Attention (MHA) with 38 layers and 3,072 hidden dimensions. With a 512 token context window, it supports vision. The most cost-effective API deployment is via together at $25.00/M output tokens. For self-hosted inference, A100 40GB SXM delivers optimal throughput at $807/month.
Architecture Details
Memory Requirements
BF16 Weights
24.0 GB
FP8 Weights
12.0 GB
INT4 Weights
6.0 GB
GPU Compatibility Matrix
FLUX.1 Dev is compatible with 82% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
95/100
score
Throughput
349.9 tok/s
Latency (ITL)
2.9ms
Est. TTFT
0ms
Cost/Month
$807
Cost/M Tokens
$0.88
BF16 · 1 GPU · vllm
95/100
score
Throughput
172.8 tok/s
Latency (ITL)
5.8ms
Est. TTFT
1ms
Cost/Month
$465
Cost/M Tokens
$1.02
BF16 · 1 GPU · vllm
95/100
score
Throughput
156.6 tok/s
Latency (ITL)
6.4ms
Est. TTFT
1ms
Cost/Month
$399
Cost/M Tokens
$0.97
Deployment Options
API Deployment
together
$25.00/M
output tokens
Single GPU
A100 40GB SXM
$807/mo
Min VRAM: 12 GB
Multi-GPU
RTX 3090 x2
343.7 tok/s
TP· $361/mo
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| together | $25.00 | $25.00 | Cheapest |
Cost Analysis
| Provider | Input $/M | Output $/M | ~Monthly Cost |
|---|---|---|---|
| togetherBest Value | $25.00 | $25.00 | $250 |
Cost per 1,000 Requests
Short (500 tok)
$17.50
via together
Medium (2K tok)
$70.00
via together
Long (8K tok)
$250.00
via together
Performance Estimates
Throughput by GPU
VRAM Breakdown (A100 40GB SXM, BF16)
Precision Impact
bf16
24.0 GB
weights/GPU
~349.9 tok/s
fp8
12.0 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy FLUX.1 Dev
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Frequently Asked Questions
How much VRAM does FLUX.1 Dev need for inference?
FLUX.1 Dev requires approximately 24.0 GB of VRAM at BF16 precision, 12.0 GB at FP8, or 6.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (175104 bytes per token) and activations (~4.00 GB).
What is the best GPU for FLUX.1 Dev?
The top recommended GPU for FLUX.1 Dev is the A100 40GB SXM using BF16 precision. It achieves approximately 349.9 tokens/sec at an estimated cost of $807/month ($0.88/M tokens). Score: 95/100.
How much does FLUX.1 Dev inference cost?
FLUX.1 Dev API inference starts from $25.00/M input tokens and $25.00/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.