Provider Rates
14 articles
Articles
2 October 2026
What Coding Agents Actually Cost Per Token in Production
Budget per completed task, then cut it with prompt caching, scoped context and iteration caps, all without changing the model
7 June 2026
Cost Per Million Tokens: The 2026 Provider Comparison Guide
Inference now consumes up to 80% of enterprise AI compute budgets. Discover the true cost per million tokens in 2026 and why renting from US-based API providers is destroying your unit economics.
11 September 2026
Qwen3-235B Cost per Token Across Providers
If the same Qwen3-235B is priced very differently across providers, this page names the five dimensions behind the gap and shows how to compare like for like.
10 September 2026
Cheapest Way to Run DeepSeek V4 via API
Finding the cheapest DeepSeek V4 API starts by recognizing that V4 is actually two models: Pro and Flash. Before comparing provider rates, you must choose your variant and understand how input and output splits drive your true per-token cost.
14 August 2026
How Lyceum's Serverless Inference Billing Works
Lyceum's billing model is built to eliminate idle waste and hidden networking fees. By combining pay-per-token Serverless Inference with per-second workload execution and zero egress charges, it ensures you only pay for the exact compute and tokens your models use.
13 August 2026
Hugging Face Inference Endpoints Cost vs Serverless GPU
Hugging Face Inference Endpoints bill by the instance hour, meaning you pay for uptime instead of actual usage. For low-traffic APIs, an always-on endpoint is an expensive overspend. We analyze the duty-cycle crossover where serverless GPUs become the cheaper choice.
13 August 2026
How to Estimate Serverless Inference Costs Before You Commit
Provider quotes for serverless inference are difficult to compare. By understanding the core identity that converts throughput into cost per token, you can evaluate quotes against your own workload's batching, quantization, and utilisation metrics.
13 August 2026
Finding the Cheapest Open Model That Clears Your Quality Bar
Most teams default to the largest models available, driving up inference bills unnecessarily. By defining a strict quality bar and testing from the cheapest open model upward, you can drastically reduce compute costs without sacrificing output quality.
13 August 2026
Image Generation API Pricing: Cost Per Image Compared
Per-image pricing hides the real cost drivers of generative AI: diffusion steps and resolution. This guide breaks down how to calculate true cost per image, compares leading API providers, and proves exactly when a dedicated GPU mathematically beats pay-as-you-go billing.
12 August 2026
AWS Bedrock Pricing Explained: What You Actually Pay Per Token
AWS Bedrock token prices are only the baseline. To forecast your real inference costs, you must account for separate input and output rates, provisioned throughput commitments, and hidden data transfer fees, and compare those against EU-sovereign open-model endpoints.
12 August 2026
Azure OpenAI Token Pricing vs EU Open-Model APIs
Azure OpenAI's complex token pricing and PTU commitments can quickly inflate inference costs, and varying deployment types obscure true data residency. Moving to an EU-sovereign, open-model API drastically cuts total compute spend while guaranteeing GDPR compliance by design.
12 August 2026
EU-Hosted Inference Cost: The Sovereignty Premium Measured
The assumption that EU data sovereignty carries a pricing premium ignores the hidden costs of public cloud infrastructure. When accounting for hyperscaler egress fees, idle GPU waste, and the legal overhead of Schrems II compliance, EU-hosted inference is frequently cheaper.
20 May 2026
Inference Cost Per Token vs. Dedicated GPU: 2026 Economics
Token-based billing is a retail markup on compute. As your AI product scales, paying a US-based provider for every word generated becomes your largest line item. We break down the engineering math behind the switch to dedicated GPUs.
15 May 2026
LLM Inference Cost Per Token: Serverless vs. Dedicated Comparison
Inference cost per unit of model quality keeps falling, yet AI infrastructure bills continue to climb. We break down where dedicated GPUs become cheaper than serverless APIs, and how to work out your own threshold.