By Ivo Donker — compiled with AI assistance (Claude & Gemini) · Last updated: July 31, 2026
What this is for
This newsletter is a monthly, Dutch-language overview of new guides, comparisons, and documentation on llmnet.nl. No ads, no unsolicited extras — just a short selection by email, with a direct link to each topic.
This first issue features five guides from different corners of the network: from code models to API integration. Below is a quick overview first, followed by the full descriptions.
This month's five guides
Hub
An overview of language models specifically trained or fine-tuned for software development, including benchmarks on code quality and supported programming languages.
Read the guide →
Hub
A comparison of the functional differences, processing capacity limits (rate limits), and privacy terms between free services and paid API subscriptions.
Read the guide →
Community
Guidelines and examples for structuring prompts on the LLMnet Community, aimed at consistently steering open and closed models.
Go to the Community →
API
Technical documentation for integrating language models into existing software, including examples for handling API keys and error handling.
Go to the guides →
Benchmark
Current measurements of response times, latency, and accuracy of various AI models, conducted under standardized test conditions.
Go to the platform →
Subscribe
Next issue in your inbox
Subscribing is done by email, without a separate signup form or external tracking mechanisms: send a message and you'll be on the list for the next issue.
Subscribe via email
One email per month, no ads. You can unsubscribe at any time by letting us know in a reply.
This is the first issue of this newsletter. The next issue will appear in August 2026, with new guides from the network.
GPT-4o vs Claude vs Gemini for Dutch Content (2026 Update)Compare GPT-4o, Claude, and Gemini on Dutch language quality, price, speed, and integrations. Discover…
Open source vs open weights models comparedWhat is the difference between open source and open weights AI? Analyze training data, OSI definitions…
Converting parameters to VRAM: calculating memoryLearn exactly how much VRAM a language model requires. Calculate model weights, KV cache, quantization…