Hosted vs self-hosted LLM APIs: a practical decision framework for 2026
A step-by-step framework to choose between hosted and self-hosted LLM APIs — covering throughput estimation, data reside
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Anthropic Launches Claude Fable 5 — First Public Mythos-Class Model with 95% on SWE-bench Verified
Anthropic releases its first Mythos-class AI model, topping SWE-bench Verified at 95%, reclaiming benchmark leadership f
Best Embedding Models for RAG: Dimensions, Context Window & Accuracy Comparison
Compare top embedding models across MTEB retrieval accuracy, dimension size, context window, and total cost of ownership
Best Embedding Models for RAG: Accuracy vs. Cost Comparison
Benchmarked across MTEB scores, real-world latency, and pricing — compare OpenAI, Cohere, BGE-m3, Jina and more to pick
LLM decision tree: which model to use when
A practical decision tree for choosing the right model — reasoning, fast frontier, specialised coding, local private, or
LLM provider feature comparison table: what each API actually supports in 2026
A comprehensive feature-by-feature comparison of major LLM providers — OpenAI, Anthropic, Google, DeepSeek, Mistral, Coh
LLM Model Scorecard: GPT-5, Claude 4, and Gemini 3 compared side-by-side
A regularly updated comparison of frontier LLMs across quality benchmarks, context length, pricing, speed, modalities an
How to choose an LLM provider: decision framework for teams (pricing, quality, latency, safety)
A decision framework for narrowing eight LLM providers to the right one for your workload, covering pricing, quality, la
Hosted API vs self-hosted open model: the real cost comparison
A practical cost comparison between using hosted LLM APIs and running open models on your own infrastructure, including
Promptfoo vs lm-eval-harness: when each is useful
A practical comparison of two popular evaluation tools — one for product regression testing, one for benchmark reproduct
Model gateways and routers: OpenRouter, LiteLLM and build-vs-buy questions
A practical comparison of model gateway options: when to use OpenRouter for quick multi-provider access, LiteLLM for sel
GPU rental for LLM inference: what an operator needs to know
A practical guide to GPU rental for running open models: what affects cost, how caching and batching change the math, an
Fine-tuning economics: when training a custom model pays back
A cost comparison of fine-tuning versus prompting and RAG: what drives the break-even point, when it makes financial sen
Cloud AI platforms vs direct model APIs: Bedrock, Vertex and Azure trade-offs
A comparison of cloud AI platforms (AWS Bedrock, Google Vertex AI, Azure AI) against direct provider APIs, covering gove