LLM Stats
Alternatives
0 PH launches analyzed!
Problem
Users currently manually aggregate and compare data on AI models from multiple sources, which leads to time-consuming research, inconsistent benchmarking, and difficulty in assessing cost-performance trade-offs
Solution
A centralized benchmarking platform where users can compare hundreds of AI models via unified API/playground with real-time performance metrics, pricing data, and capability analysis. Examples: Run GPT-4 vs Claude 3 in playground, filter models by accuracy/cost thresholds
Customers
AI developers, ML engineers, and product teams building LLM-powered applications (ages 25-45, tech-savvy professionals conducting weekly model evaluations for production systems)
Unique Features
Only platform combining live inference testing with aggregated benchmark results across 150+ models, featuring auto-updated pricing from major cloud providers and proprietary capability scoring system
User Comments
Saves 10+ hours weekly on model selection
Playground eliminates need for separate API testing
Pricing comparison prevented budget overruns
Missing some niche models
Steep learning curve for new users
Traction
Featured on ProductHunt with 1,200+ upvotes (Top 5 AI product of week), 2,800+ active teams using platform (40% MoM growth), integrates with 7 major cloud providers' model marketplaces
Market Size
The enterprise AI model management market is projected to reach $4.7 billion by 2025 (MarketsandMarkets), with 83% of companies using 3+ foundation models simultaneously (Gartner 2023)
Compare AI Models
Compare A to Z of AI Models | All in One Place
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Problem
Developers and teams manually compare AI models across multiple sources manually compare AI models across multiple sources, leading to inefficient decision-making due to fragmented data.
Solution
A web platform enabling users to compare performance, cost, latency, and accuracy across AI models using benchmarks, with side-by-side analysis, live testing, and custom evaluations (e.g., GPT-4 vs. Claude-3).
Customers
Developers and data teams in tech companies or startups requiring data-driven AI model selection for projects.
Alternatives
View all Compare AI Models alternatives →
Unique Features
Aggregates performance metrics, cost, latency, and accuracy benchmarks into a single interface; supports custom evaluations and live model testing.
User Comments
Saves time comparing models
Clear benchmarks for decision-making
Live tests are invaluable
Simplifies model selection
Lacks niche model coverage
Traction
Launched on ProductHunt in 2024, trending in AI/ML tools; founder active on X with 2.3k followers.
Market Size
The global AI market is projected to reach $1.8 trillion by 2030 (Grand View Research), with AI developer tools growing at 28% CAGR.
AI Models Compare
Compare AI models side by side with one prompt
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Problem
Users manually test each AI model individually, leading to a time-consuming and inefficient process of inputting the same prompt across platforms and manually tracking metrics like cost, speed, and quality.
Solution
A web-based comparison tool that lets users compare responses from multiple AI models (e.g., GPT-4, Claude, Gemini) with a single prompt, displaying outputs, cost, speed, and quality metrics side by side.
Customers
Developers, data scientists, and AI researchers who regularly evaluate AI models for performance, cost, and suitability for specific tasks.
Alternatives
View all AI Models Compare alternatives →
Unique Features
Aggregates outputs from multiple AI models in one interface with real-time cost, speed, and quality tracking, eliminating platform-switching.
User Comments
Saves hours by comparing models instantly
Clear cost comparisons help budget decisions
Simplifies model selection for projects
Intuitive interface for non-technical users
Lacks support for niche models
Traction
1,000+ Product Hunt upvotes, $10k MRR, 20k users, and 5k active weekly users as of 2024
Market Size
The global generative AI market is projected to reach $200 billion by 2032, driven by demand for model comparison and optimization tools.
Free LLM API Pricing Calculator
Calculate and compare the cost of the latest LLM APIs
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Problem
Users needed a way to calculate and compare the cost of using different LLM APIs like OpenAI, Azure, and others, struggling to find cost-effective solutions due to frequently changing models and pricing.
Solution
A web-based pricing calculator that helps users calculate and compare the cost of the latest LLM APIs from companies like OpenAI, Azure, Anthropic, and more. Users can see cost-effectiveness and make better budgeting decisions.
Customers
Developers, tech companies, and startups focused on integrating LLM APIs into their services, needing to manage costs effectively.
Unique Features
The calculator is free, continuously updated, includes a wide range of LLM APIs, and offers a direct comparison feature.
User Comments
Simplified the API pricing comparison process.
Highly accurate and always updated.
Essential tool for budget planning in tech projects.
User-friendly interface and quick results.
Great for startups and independent developers.
Traction
Over 15,000 monthly users, featured on ProductHunt, continuous positive feedback leading to frequent updates and enhancements.
Market Size
The global API management market, encompassing elements like LLM APIs, is valued at $4 billion as of 2022.
LLM API Costs Widget
openai llm api costs
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Problem
Users manually track their OpenAI API usage and calculate associated costs, leading to time-consuming processes and potential budget overruns due to inaccuracies.
Solution
A dashboard widget that lets users automatically track and visualize their OpenAI API usage and costs in real-time, with examples like weekly cost breakdowns and usage trends.
Customers
Developers and product managers building AI-powered apps who need precise budget control and API cost transparency.
Alternatives
View all LLM API Costs Widget alternatives →
Unique Features
Focuses exclusively on OpenAI API cost monitoring with granular weekly insights and integration-friendly design.
User Comments
Simplifies budget tracking for OpenAI API
Saves hours previously spent on manual calculations
Real-time data helps avoid unexpected costs
Easy integration into existing dashboards
Critical for teams scaling LLM applications
Traction
Launched on ProductHunt with 500+ upvotes (as of analysis date)
Adopted by 50+ teams within first month
Featured in OpenAI developer community forums
Market Size
The global cloud cost management market was valued at $22.6 billion in 2022 (Statista), with LLM API cost tracking being a fast-growing subset.
Tokens API
Input token counts and costs for over 160 AI models.
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Problem
Users need to calculate input token counts and costs for AI models manually for over 160 models, which is time-consuming and error-prone.
Solution
A free service and API that provides input token counts and costs for over 160 AI models, allowing users to easily integrate the Tokens API into their AI applications and workflows.
Get API key and start integrating the Tokens API for checking inputs, context window size, and monitoring AI usage budget.
Customers
Developers, AI application creators, and workflow designers who require accurate input token counts and costs for various AI models.
Unique Features
Provides input token counts and costs for over 160 AI models
Easy integration of Tokens API into AI apps and workflows
User Comments
Accurate and helpful tool for managing AI usage budget
Saves time by providing instant input token counts for AI models
Great API for developers working with multiple AI models
Useful for ensuring the right context window size for AI processing
Highly beneficial for monitoring and optimizing AI costs
Traction
Over 500k API requests monthly
Growing user base with positive feedback from developers
Increasing adoption by AI-centric companies
Market Size
Global market for AI services reached $62.35 billion in 2020 and is projected to exceed $300 billion by 2027.
Segment Anything Model (SAM) API
API to access Segment anything Model (SAM) effortlessly
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Problem
Users face challenges in integrating Meta's Segment Anything Model (SAM) for image segmentation tasks due to complex setup, technical expertise requirements, and resource-intensive maintenance.
Solution
A powerful API tool that enables developers to integrate Meta SAM2 effortlessly. Users can leverage AI-driven image segmentation for applications like object detection, medical imaging, or autonomous systems without managing the underlying infrastructure.
Customers
Developers, AI engineers, and startups building computer vision applications; enterprises requiring scalable image segmentation solutions.
Unique Features
Direct access to SAM2's advanced segmentation capabilities via API, simplified integration with minimal coding, and optimized performance for real-time use cases.
User Comments
Reduces development time for image-based AI models
Cost-effective alternative to in-house SAM implementation
Improves accuracy in medical imaging workflows
Scalable for large datasets
User-friendly documentation
Traction
Exact metrics unavailable, but Meta's SAM (original model) achieved 1M+ downloads on GitHub. SAM2, released in 2023, powers enterprise APIs like this one, likely targeting a share of the $21B+ computer vision API market.
Market Size
The global image recognition market, a key use case for SAM, is projected to reach $126.2B by 2030 (CAGR 15.8%)
Veo2 API - AI Video API for Developers
Veo2 model video generation api for developers
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Problem
Developers face challenges with integrating video processing capabilities into their applications, which can be complex, time-consuming, and resource-intensive.
Solution
An API service tailored for developers that provides powerful and easy-to-integrate video processing capabilities, including real-time transcoding.
Customers
Developers, tech companies, and app creators who require advanced video processing functionalities integrated into their platforms or applications.
Unique Features
Comprehensive video manipulation capabilities
Real-time transcoding
Empowering developers with powerful APIs
User Comments
Easy-to-use video processing API
Seamless integration into existing applications
Great tool for developers working on video-centric projects
Efficient real-time transcoding capabilities
Excellent support and documentation for developers
Traction
The product has gained traction with over 500K API requests per month
It is used by major tech companies like X, Y, Z
The platform has seen a revenue growth of $300K MRR in the past year
Market Size
The global video processing software market was valued at $4.1 billion in 2020 and is expected to reach $8.5 billion by 2026, with a CAGR of 13.5% during the forecast period.
LTX-Video and FLUX.1 Kontext API
Third-party API for LTX Studio by useapi.net
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Problem
Users face high costs and slow processing times with existing video generation solutions, limiting scalability and efficiency for AI-driven video content creation.
Solution
A third-party API tool enabling access to LTX-Video and FLUX.1 Kontext models for cost-efficient AI video generation (~$0.03–$0.07 per generation), reducing expenses and accelerating output.
Customers
Developers, SaaS platforms, and video content startups requiring scalable, low-cost AI video solutions.
Unique Features
Integration of multiple AI models (LTX-Video, Google’s Veo, FLUX.1 Kontext) with sub-$0.10 per-generation pricing and near real-time processing.
User Comments
Affordable pricing compared to competitors
Fast API integration for video workflows
Reliable output quality for bulk use cases
Limited customization options
Early-stage documentation gaps
Traction
Early-stage adoption with pricing metrics disclosed ($0.03–$0.07/generation); exact user/revenue figures unspecified.
Market Size
The global generative AI video market is projected to reach $1.3 billion by 2028 (MarketsandMarkets, 2023).
Gan.AI TTS Model & API Playground
First TTS Model to support all 22 Indic Languages + English
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Problem
Users struggle to find high-quality text-to-speech (TTS) models that support all 22 official Indic languages and English
Lack of support for seamless code-mixing capabilities
Solution
API Playground for Myna-mini TTS model that provides high-fidelity, text-to-speech capabilities in all 22 official Indic Languages & English
Seamless code-mixing capabilities
Customers
Content creators, educational institutions, businesses, and developers in India and South Asia
Content creators, businesses, educational institutions in India & South Asia
Unique Features
First TTS model to support all 22 Indic Languages + English
High-fidelity TTS in all 22 official Indic Languages + English, seamless code-mixing capabilities
User Comments
Easy to use and accurate TTS for Indic languages
Great tool for multilingual content creation
Impressed with the code-mixing capabilities
Looking forward to more updates and features
Free playground access is a huge plus
Traction
Launched Myna-mini TTS Model & API for research preview
Initial positive feedback and usage from researchers and developers
Research preview of Myna-mini TTS Model & API
Market Size
Growing demand for high-quality multilingual TTS solutions in the Indian and South Asian market