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Model Selection
Choosing between open-weight models: task-fit comparisons, closed-source equivalents and benchmark guidance. Serves buyers deciding which model to run before they commit.
12 articles
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Articles
August 28, 2026
GLM-5.2 vs Kimi-K2.6 vs Qwen3: Coding APIs Compared
Comparing GLM-5.2, Kimi-K2.6, and Qwen3-Coder-30B-A3B reveals a clear divide: two are general-purpose flagships for complex reasoning, and one is a highly distilled code specialist. We break down the architectures, use cases, and the twenty-fold price gap between them.
August 28, 2026
Best Open-Model APIs for Agentic Coding (2026)
Agentic coding fundamentally changes model economics, shifting the focus from single-shot completions to multi-step tool calls where output prices compound. This guide breaks down the 18-fold output price spread across open models for autonomous agents.
August 28, 2026
Best Open Vision-Language Model APIs (2026)
For enterprise AI teams, evaluating open vision-language models comes down to balancing reasoning depth, inference cost, and data residency. Here is a direct comparison of the top EU-hosted multimodal APIs, Qwen2.5-VL and MiniCPM-V 4.5, and how to test them on your payloads.
August 27, 2026
Best Open Model API for OCR and Document Extraction
Vision-language models have made traditional OCR obsolete by extracting structured JSON directly from document images. For European teams, running these models on an EU-hosted, zero-retention API solves the GDPR compliance challenge of processing invoices and contracts.
August 27, 2026
Best Open Model for RAG Generation: Which Size Wins
When building a RAG pipeline, the generation model acts as a reading comprehension engine rather than a factual knowledge base. Discover why choosing an efficient 30B model over a massive 235B architecture slashes your compute bill while delivering the exact same answers.
August 26, 2026
30B vs 70B vs 235B: How to Pick Open Model Size Per Task
Parameter count is no longer a reliable proxy for inference cost. With Mixture-of-Experts architectures breaking the linear pricing curve, you can stop guessing and use a simple per-token price ladder to size open models precisely against your workload.
August 26, 2026
Best Multilingual Embedding APIs for RAG (2026)
Choosing the right multilingual embedding API requires testing on your own corpus rather than trusting aggregate leaderboard scores. Here is how to evaluate retrieval quality across languages, avoid silent vector mismatches, and leverage Lyceum's EU-hosted Qwen3-Embedding-8B.
July 31, 2026
Kimi K3 vs Claude Fable 5: The Top-Tier Comparison
Kimi K3 pairs 2.8 trillion parameters and a 1-million-token context window with a list price well below Claude Fable 5. European teams weighing the two should also weigh where each model is served, and on what terms
June 9, 2026
2026 LLM Inference Latency in Europe: GPU Cost Guide
Inference now accounts for the majority of AI GPU spend. Here is how European engineering teams are optimizing latency, throughput, and cost per token on H100 infrastructure in 2026.
June 8, 2026
Llama 3 vs Mistral vs Qwen: 2026 Model Selection Guide
Choosing the right open-weight model is only half the battle. See how Llama 3, Mistral, and Qwen compare on VRAM, quantization, and serving cost, and how to size the infrastructure behind them.
June 1, 2026
2026 Open-Source LLM Comparison: Benchmarks & Enterprise Deployment
Open-source models now match proprietary alternatives in reasoning and coding. For European engineering teams, the challenge has shifted from model selection to sovereign, GDPR-compliant deployment.
June 1, 2026
Open Source vs Closed API LLM Cost Comparison
API token prices have plummeted, but at scale, pay-as-you-go models still drain budgets. We work the arithmetic on where self-hosting open-source LLMs becomes cheaper than closed APIs, with every assumption shown.