Groq powers leading openly-available AI models. View the pricing of our core models including GPT-OSS, Kimi K2, Qwen3 32B, and more.
GPU Pricing — Live Platform Rates | Vast.ai
Live GPU pricing on Vast.ai. Prices set by supply and demand across 40+ data centers. On-demand, interruptible, or reserved — find the right GPU at the right price.
Simple Pricing | Machine Learning Infrastructure | Deep Infra
We provide only pay-what-you-use pricing with no long-term contracts or upfront costs for our machine learning models and infrastructure. Learn more!
AI Inference Pricing, EU Hosted, Per Token | TensorX
Transparent, pay-as-you-go pricing for private AI inference on TensorX. No lock-in, EU-hosted, with zero data retention and an OpenAI-compatible API.
Kimi K2 0711 - API Pricing & Benchmarks
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. $0.57 per million input tokens, $2.30 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.
Overview - GroqDocs
Fast LLM inference, OpenAI-compatible. Simple to integrate, easy to scale. Start building in minutes.
Kilo - Pricing
Pricing for Kilo Code, the open-source AI coding agent for VS Code, JetBrains and the CLI
How to Develop An AI Pricing Model | Salesforce Ventures
Your guide to developing an effective and scalable AI pricing strategy.
Models & Pricing | DeepSeek API Docs
The prices listed below are in units of per 1M tokens. A token, the smallest unit of text that the model recognizes, can be a word, a number, or even a punctuation mark. We will bill based on the total number of input and output tokens by the model.
AI GPUs probably live longer than three years
People who think current AI use is unsustainable often rely on the claim that inference GPUs only last “three years at the most” under load1. The idea here is that once the AI bubble money drains away, current infrastructure will rapidly become obsolete, and there won’t be enough money floating around to buy a whole slate of brand-new GPUs. Inference costs would thus rapidly become way too expensive for current AI products to make any financial sense.
MotherDuck: Pricing - Get Started
Blazing fast analytics, ducking simple pricing. Plans that fit customer-facing analytics and internal data warehousing use cases.
OpenCode Go | Low cost coding models for everyone
Go starts at $5 for your first month, then $10/month, with generous 5-hour request limits for GLM-5.1, GLM-5, Kimi K2.5, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.6 Plus, MiniMax M2.5, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.
Fastino trains AI models on cheap gaming GPUs and just raised $17.5M led by Khosla | TechCrunch
Tech giants like to boast about trillion-parameter AI models that require massive and expensive GPU clusters. But Fastino is taking a different approach.
AI costs how much? GitHub Copilot users react to new usage-based pricing system.
Some report burning through their whole monthly "AI credit" allotment in a single day.
