Claude Opus 5 reset the top of the coding stack at half the price of Fable 5, GPT-5.6 Sol holds the terminal benchmarks, and Grok 4.5 arrived trained on Cursor. A research-grounded August 2026 playbook for routing models by role — and keeping the bill visible.
A research-grounded August 2026 briefing on the frontier: Anthropic's Claude Opus 5 at half the price of Fable 5, GPT-5.6 going generally available then getting an 80% price cut, Grok 4.5, Meta's return — and what a cheaper frontier does to your bill.
A research-grounded August 2026 guide to AI image models: FLUX 3 goes multimodal, Microsoft's MAI-Image-2.5-Pro arrives token-priced, Nano Banana and GPT Image 2 hold the arenas — and why per-image pricing is quietly being replaced by per-token billing.
A research-grounded August 2026 map of LLM pricing after a month of cuts: OpenAI's repriced GPT-5.6 tiers, Claude Opus 5 and the Sonnet 5 increase landing September 1, Google, xAI, Meta — plus what open-model hosts actually charge per token.
The best coding setup in July 2026 isn't one model — it's a system: a big model for planning, a cheaper one for execution, an independent one for review, plus the skills, environment, and economics that make it work. A research-grounded playbook for developers moving real work into model-assisted development.
A research-grounded July 2026 briefing on the frontier: OpenAI's GPT-5.6 (Sol, Terra, Luna), Anthropic's Claude Fable 5 and Mythos 5, where Gemini, Grok, and open models sit — and the new reality of US-government-gated model access.
A research-grounded July 2026 guide to AI image models: GPT Image 2, Midjourney V8, FLUX.2, Google Imagen 4 and Gemini image, Reve/Riverflow, plus per-image pricing and how to keep image-generation spend under control.
A research-grounded July 2026 map of LLM pricing: OpenAI, Anthropic, Google, xAI, Amazon, and Mistral APIs, the leading open-weight models, and what open-model hosts (Together AI, Groq, Fireworks, Hugging Face, DeepInfra, and more) actually charge per token.
OpenAI and Anthropic rarely differ by only list price. Compare GPT-5.5 and Claude pricing, long-context behavior, batch discounts, and when each provider is actually cheaper in production.
The cheapest AI API depends on the workload. Compare low-cost options for chat, retrieval-heavy RAG, and coding tasks, plus the pricing traps that make a 'cheap' model expensive in production.
Long context changes AI API economics fast. Understand how pricing behaves above 200K tokens, why retrieval-heavy products get expensive, and what teams should model before launch.
A practical comparison of LLM latency across major providers and model families, including when ultra-low latency matters (voice, realtime UX) and when slower responses are acceptable.
Choose when to retrieve vs stuff more context. Embeddings and retrieval have different cost shapes than long-context prompting—this guide shows which wins for your workload.
Which OpenAI model tier gives the best economic tradeoff? GPT-5.5, GPT-5-mini, and the current lineup—with cost vs quality framing and a selection scorecard for production workloads.
Seat pricing and usage pricing reward opposite team shapes. How to work out which one fits yours before you commit, and why the answer changes as agentic use grows.
Frameworks for comparing model cost, latency, and quality so teams can choose the right model for each workload.
What guides are in the Model pricing and selection topic hub?
The Best Coding Models in August 2026 — and How to Actually Use Them, The Latest in LLMs, August 2026: Claude Opus 5, GPT-5.6 GA, and an 80% Price Cut, The Latest in AI Image Generation, August 2026: Models, Quality, and Cost, LLM Model Pricing in August 2026: Every Major API and Open Model, The Best Coding Models in July 2026 — and How to Actually Use Them.
How does StackSpend help with Model pricing and selection?
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