JigsawStack Pricing Updates & v3 Focus!


JigsawStack began with a simple goal: make infrastructure automation accessible to everyone. Along the way, we connected deeply with developers and discovered the critical aspects of infrastructure that truly matter.
If you’re not gonna read everything, read this 👇
Rollout Date: April 11th
(No action required on your part; the switch to the new pricing is automatic.)Notifications:
Two additional emails and a dashboard notice will be sent as we approach the update.Enterprise Customers:
Custom pricing for the commitment tier remains unchanged until the next contract cycle (unless requested otherwise).v3 updates
Progressive weekly updates from April 11th
From v1 to v2: Delivering Real Value
When we launched JigsawStack v2, we adopted a clear mantra:
If a feature only adds convenience, we won't build it.
Instead, we focused on delivering features that save developers months of work. This meant streamlining our services—removing those that didn’t provide tangible value and honing in on the essentials.
Our Three Key Model Categories
Data Extraction
AI Scraper
vOCR
Speech-to-Text
Data Transformation
Translation
Prompt Engine
Text-to-Speech
Data Validation
NSFW Check
Spell Check
Our approach is simple yet powerful:
Base Infra + SLM/Deep Learning Model (trained/fine-tuned for base infra) + ML Model (grounding) = JigsawStack
Training our models to manage underlying infrastructure opened up new possibilities, reduced limitations, and increased accuracy.
Introducing JigsawStack v3
JigsawStack v3 builds on our commitment to real value by:
Merging and removing services to eliminate redundancy.
Improving accessibility with major updates.
Lowering costs and scaling solutions for developers at every stage.
We emphasize data because infrastructure is fundamentally about data movement, driving our commitment to our three key categories.
Upcoming Service Updates
Service Merges
AI Scraper & Web Scraper combined
AI Web Search & Geo Search combined
Deprecation
Web Scraper (Merged with AI Scraper)
Geo Search (Merged with Web Search)
New Model Launches
Embedding model (v1 beta)
Image-to-Image Translation model
V1: In-scene machine translation
V2: Diffusion based
Speaker Diarization model (faster, cheaper, and more accurate)
SOTA Object detection by combing SAM2 + Object Labeling + OmniParserv2 + vLLM
Enhanced Features
Updated image generation service with native support for:
Image-to-image
Text-to-image
Image-to-video
Prompt-based editing
Improved Python SDK (upcoming breaking change)
Usable apps built on JigsawStack models
Pricing Updates: Scalable and Developer-Friendly
Accessibility means having predictable and scalable pricing. In v1, a fixed usage-based pricing model on API calls worked well. However, with our enhanced models in v2, usage is truly driven by your input.
Now, we’ve moved to a token-based pricing model that is granular enough for developers to control their costs while scaling dynamically with usage. This model aligns with market standards for many AI companies.
New Pricing Tiers
Tier | Price | Tokens Included | Additional Cost |
Free tier | $0/month | 1 million tokens | - |
Pro tier | $27/month | 8 million tokens | $1.40 per million tokens |
Tokens are calculated across three dimensions:
Input & Output Tokens: $1.40/million tokens
Inference Time Tokens: 1 millisecond (ms) processing = 1 token
A consistent rate of $1.40 per million tokens applies across all models
How Token-Based Pricing Works
Every request now includes a _usage
key providing the token breakdown, so you can better estimate costs based on:
Input tokens
Output tokens
Inference time tokens
{
"_usage": {
"input_tokens": 43,
"output_tokens": 9470,
"inference_time_tokens": 16569,
"total_tokens": 26082
}
}
Example 1
Input: 100 tokens
Processing: 3 seconds (3000 ms)
Output: 20 tokens
Calculation:
Cost per token (CPT) = 1.40 / 1,000,000
Total cost ≈ 100 * CPT + 20 * CPT + 3000 * CPT ≈ $0.004368
Example 2
Input: 3 tokens (URL only)
Output: 100 tokens
Processing: 5 seconds (5000 ms)
Calculation:
Total cost ≈ 3 * CPT + 100 * CPT + 5000 * CPT ≈ $0.0071442
In these examples, processing time is factored into the cost—not the duration of the audio or the input size—resulting in savings of 6x to 10x compared to the previous flat rate of $0.05 per request.
How Does This Compare?
Token-Based Pricing ($1.40/1m Tokens) vs. $0.05 per Invocation
Prediction API:
Token Cost = (1.40 / 1,000,000) * 984 ≈ 0.0013776 Savings Ratio ≈ 0.05 / 0.0013776 ≈ 36x cheaper
AI Web Scraper API:
Token Cost = (1.40 / 1,000,000) * 13,507 ≈ 0.0189098 Savings Ratio ≈ 2.65x cheaper
vOCR API:
Token Cost = (1.40 / 1,000,000) * 15,068 ≈ 0.0210952 Savings Ratio ≈ 2.37x cheaper
NSWF API:
Token Cost = (1.40 / 1,000,000) * 1,524 ≈ 0.0021336 Savings Ratio ≈ 23.44x cheaper
Image Generation API:
Token Cost = (1.40 / 1,000,000) * 13,297 ≈ 0.0186158 Savings Ratio ≈ 2.69x cheaper
Rollout and Transition for Existing Users
Rollout Date: April 11th
(No action required on your part; the switch to the new pricing is automatic.)Notifications:
Two additional emails and a dashboard notice will be sent as we approach the update.Enterprise Customers:
Custom pricing for the commitment tier remains unchanged until the next contract cycle (unless requested otherwise).v3 updates
Progressive weekly updates from April 11th
We Value Your Feedback
JigsawStack v3 is built with a developer-first mindset—improving everything from developer experience (DX) to cost efficiency. Your honest and direct feedback helped shape v3, and we’re eager to hear your thoughts on how we can continue to improve.
Our small, passionate team of engineers is growing, and we’re always looking for talented, “cracked” engineers to join us. If you're interested, check out our careers page or reach out—even if no current role fits your profile, you might just be the perfect addition to our team!
Thank you for being part of our journey! If you encounter any issues during this transition or notice any bugs, please email us at support@jigsawstack.com or drop a message on our Discord. We're here to help.
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