Cost Calculator

Estimate your AI workload costs on CLORE.AI.

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Quick Cost Reference

GPU Hourly Rates

GPU
On-Demand
Spot (typical)

RTX 3060 12GB

$0.03-0.05

$0.02-0.03

RTX 3070 8GB

$0.03-0.04

$0.02-0.03

RTX 3080 10GB

$0.04-0.06

$0.03-0.04

RTX 3090 24GB

$0.05-0.08

$0.04-0.06

RTX 4070 Ti 12GB

$0.05-0.07

$0.03-0.05

RTX 4080 16GB

$0.07-0.10

$0.05-0.07

RTX 4090 24GB

$0.10-0.15

$0.07-0.10

RTX 5090 32GB

$0.15-0.20

$0.10-0.15

A100 40GB

$0.15-0.22

$0.12-0.17

A100 80GB

$0.22-0.35

$0.18-0.25

H100 80GB

$0.45-0.70

$0.35-0.50


Cost by Task

Chat/LLM Inference

Cost per 1 million tokens generated:

Model Size
GPU
Speed (tok/s)
Cost/1M tokens

7B (Q4)

RTX 3060

25

$0.33

7B (Q4)

RTX 3090

45

$0.37

7B (Q4)

RTX 4090

80

$0.35

13B (Q4)

RTX 3090

30

$0.56

13B (Q4)

RTX 4090

55

$0.51

30B (Q4)

RTX 4090

25

$1.11

70B (Q4)

A100 40GB

25

$1.89

70B (Q4)

A100 80GB

35

$1.98

Example costs:

  • 1 hour of chatting (~50K tokens): $0.02-0.10

  • Process 100 documents (1M tokens): $0.33-2.00

  • Run chatbot for 24 hours: $0.72-4.00


Image Generation

Cost per 1000 images:

Model
Resolution
GPU
Time/image
Cost/1000

SD 1.5

512x512

RTX 3060

4 sec

$0.33

SD 1.5

512x512

RTX 3090

2 sec

$0.28

SD 1.5

512x512

RTX 4090

1 sec

$0.28

SDXL

1024x1024

RTX 3090

7 sec

$0.97

SDXL

1024x1024

RTX 4090

3 sec

$0.83

FLUX schnell

1024x1024

RTX 4090

5 sec

$1.39

FLUX schnell

1024x1024

RTX 5090

3.5 sec

$1.46

FLUX dev

1024x1024

RTX 4090

15 sec

$4.17

FLUX dev

1024x1024

A100 40GB

10 sec

$4.72

Example costs:

  • Generate 100 SDXL images: $0.08-0.10

  • Generate 1000 SD 1.5 images: $0.28-0.33

  • Batch of 500 FLUX images: $0.70-2.40


Video Generation

Cost per minute of video:

Model
Length
Resolution
GPU
Time
Cost/min video

SVD

4 sec

576x1024

RTX 4090

1.5 min

$0.38

SVD

4 sec

576x1024

A100 40GB

1 min

$0.43

AnimateDiff

3 sec

512x512

RTX 3090

2 min

$0.53

Wan2.1

5 sec

480p

RTX 5090

2 min

$0.80

Wan2.1

5 sec

720p

A100 40GB

2 min

$0.85

Hunyuan

5 sec

720p

A100 80GB

5 min

$3.13

Example costs:

  • 1 minute of SVD clips: $0.38-0.50

  • 5 minutes of AnimateDiff: $2.65

  • 1 minute of Hunyuan video: $3.00-4.00


Audio Processing

Cost per hour of audio:

Task
Model
GPU
Processing Time
Cost/hour audio

Transcription

Whisper large-v3

RTX 3060

10 min

$0.05

Transcription

Whisper large-v3

RTX 4090

3 min

$0.05

TTS

Bark

RTX 3090

Real-time

$0.06

TTS

XTTS

RTX 3090

Real-time

$0.06

Music Gen

Stable Audio

RTX 3090

2x real-time

$0.12

Example costs:

  • Transcribe 10 hours of podcasts: $0.50

  • Generate 1 hour of TTS: $0.06

  • Create 30 minutes of music: $0.06


Model Training

Cost estimates for common training tasks:

Task
Dataset
GPU
Time
Total Cost

LoRA fine-tune (7B)

10K samples

RTX 4090

2-4 hours

$0.20-0.50

LoRA fine-tune (13B)

10K samples

A100 40GB

3-6 hours

$0.50-1.00

Full fine-tune (7B)

50K samples

A100 80GB

24-48 hours

$5-12

SD LoRA

100 images

RTX 3090

1-2 hours

$0.05-0.12

DreamBooth

20 images

RTX 4090

30-60 min

$0.05-0.10


Cost Calculators

LLM Inference Calculator

Image Generation Calculator

Video Generation Calculator


Budget Planning

Small Project (~$5)

What you can do:

  • Generate 5,000+ SD 1.5 images

  • Generate 500+ SDXL images

  • Process 100+ hours of audio transcription

  • Run 7B chatbot for 100+ hours

  • Train 5+ LoRA models

Medium Project (~$25)

What you can do:

  • Generate 25,000+ SDXL images

  • Generate 5,000+ FLUX images

  • Process 500+ hours of audio

  • Run 70B model for 100+ hours

  • Train multiple custom models

  • Generate 30+ minutes of video

Large Project (~$100)

What you can do:

  • Full fine-tune 7B model

  • Generate 100,000+ images

  • Run production LLM API for a week

  • Generate hours of video content

  • Train multiple DreamBooth models


Cost Optimization Tips

1. Use Spot Orders

Save 30-50% with spot pricing:

  • Great for batch jobs

  • Save work frequently

  • Avoid for time-critical tasks

2. Right-Size Your GPU

Don't overpay for unused power:

If you need...
Don't use
Use instead

7B chat

A100

RTX 3060

SD 1.5 images

RTX 4090

RTX 3060

SDXL images

A100

RTX 3090

Quick tests

A100

RTX 3060

3. Use Quantization

Reduce GPU requirements:

  • Q4: 4x less VRAM, slightly lower quality

  • Q8: 2x less VRAM, minimal quality loss

  • AWQ/GPTQ: Optimized for inference

4. Batch Processing

Process more in less time:

  • Batch API requests

  • Use larger batch sizes

  • Run overnight jobs

5. Pre-download Models

Avoid paying while downloading:

  • Use Docker images with pre-loaded models

  • Cache models on persistent storage

  • Download before starting paid order


Comparison: CLORE.AI vs Alternatives

vs Cloud Providers (AWS, GCP, Azure)

Factor
CLORE.AI
Cloud Providers

A100 hourly

$0.17-0.25

$3-5+

Setup time

Minutes

Hours

Minimum commitment

None

Often hourly

Spot savings

30-50%

60-90% but complex

CLORE.AI advantage: 10-20x cheaper for most AI workloads.

vs RunPod, Vast.ai

Factor
CLORE.AI
Others

Price

Competitive

Similar

GPU variety

Wide

Wide

Spot orders

Yes

Yes

Crypto payments

Yes (native)

Limited

vs Local Hardware

Factor
CLORE.AI
Local RTX 4090

Upfront cost

$0

$1,600+

Monthly (8hr/day)

~$24

~$15 (electricity)

Break-even

-

~3 months

Flexibility

Any GPU

One GPU

Maintenance

None

You

When to rent: Testing, variable workloads, need for high-end GPUs When to buy: Consistent daily use, 4+ hours/day for 3+ months


Real-World Examples

Startup: AI Chatbot

Requirements: 70B model, 8 hours/day, 30 days

Creator: Image Generation

Requirements: 1000 SDXL images/day, 30 days

Researcher: Model Training

Requirements: Fine-tune 13B model on 100K samples

Agency: Video Production

Requirements: 10 minutes of AI video/week


Next Steps

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