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.
18 articles
Articles
28 August 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.
11 September 2026
DeepSeek V4 Pro vs Claude Opus 4.6: Agent Costs Compared
If you are weighing DeepSeek-V4-Pro against Claude Opus 4.6, this page gives the verified per-token comparison on your own token ratio. We show how agent workflows accumulate context and why you must evaluate cost at the finished task level before switching.
10 September 2026
MiniMax M3 vs Claude Sonnet 5: The Mid-Tier Cost Gap
If you are weighing MiniMax-M3 against Claude Sonnet 5, this page gives the verified per-token comparison on your own token ratio and what you would need to test before switching.
9 September 2026
GLM-5.2 vs Claude Opus 5: The Real Cost Gap
For enterprise teams comparing GLM-5.2 against Claude Opus 5, the true cost difference depends entirely on your token ratio. This guide breaks down the per-token math, where each model processes your data, and what to test before migrating your workload.
28 August 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.
14 August 2026
Kimi K3 vs Claude Fable 5: The Top-Tier Comparison
Kimi K3 matches Claude Fable 5's top-tier reasoning with 2.8 trillion parameters and a 1-million-token context window, all at a lower list price. European AI teams can run Kimi K3 on Lyceum's eu-north1 infrastructure for full data sovereignty
10 September 2026
Kimi-K3 vs DeepSeek-V4-Pro for Reasoning Work
Comparing Kimi-K3 and DeepSeek-V4-Pro solely on per-token price is misleading for reasoning work. Because models emit massive volumes of intermediate thought tokens, the true cost metric is the total billed volume per finished, correct answer.
28 August 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.
3 September 2026
Open Models with Reliable Function Calling & JSON Output
Discover why reliable JSON output is more than just picking a model off a leaderboard. Learn how to combine open models, inference-engine constraints like guided decoding, and tiered retry logic to build cost-effective function calling pipelines.
2 September 2026
OpenAI & Anthropic Replacements: Open-Model Map
A task-by-task migration map for teams replacing OpenAI or Anthropic APIs with open-weight models. We cover the exact models, per-token prices, and hosting regions to match your specific workloads.
27 August 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.
27 August 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.
26 August 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.
26 August 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.
9 June 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.
8 June 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.
1 June 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.
1 June 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.