Blog
What is an LLM gateway? And do you actually need one?
LLM gateways route requests, add caching, and control costs. Here's what they do, when you need one, and how to get the same benefits in 2 lines of code.
Jul 5, 2026 · 6 min readRead →
Tutorial
How to run a local LLM (and what it costs vs cloud)
Ollama, LM Studio, llama.cpp — running local LLMs is free but not actually free. Here's the real cost comparison and how to track usage across both.
Jul 5, 2026 · 5 min readRead →
Blog
LLM benchmarks explained: what the leaderboard numbers actually mean
MMLU, HumanEval, GPQA, SWE-bench — here's what each benchmark measures, what they miss, and how to pick the right model for your use case.
Jul 5, 2026 · 6 min readRead →
Blog
GLM 5.2 has a 1M token context window. Here's what that does to your API bill.
Z.ai's GLM 5.2 is the most powerful open-weight LLM of 2026. But a 1M token context window cuts both ways — here's how to use it without destroying your budget.
Jun 29, 2026 · 6 min read
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Blog
We analyzed thousands of LLM API calls. Here's where the waste is hiding.
40–70% of tokens in the average production prompt are pure waste. We dug into the data to find the most common patterns — and how to fix them.
Jun 21, 2026 · 5 min read
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Blog
Semantic caching: why exact match isn't enough
Exact match caching only catches identical prompts. We built a semantic layer that catches similar ones — and it changes everything about LLM cost optimization.
Jun 25, 2026 · 4 min read
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Tutorial
Getting started with Tokoscope in 5 minutes
A step-by-step guide to integrating Tokoscope into your existing OpenAI, Anthropic, or Gemini app. No infrastructure changes required.
Jun 18, 2026 · 5 min read
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Tutorial
How to reduce your OpenAI API costs by 60%
A practical walkthrough of prompt compression, semantic caching, and cost attribution — three techniques that compound to dramatically cut your LLM spend.
Jun 22, 2026 · 7 min read
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