Tutorials DeepSeek V4-Flash KV Cache: Cut Input Costs 50x
Structure prompts so DeepSeek's disk cache hits, and pay ~50x less on repeated input tokens.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Structure prompts so DeepSeek's disk cache hits, and pay ~50x less on repeated input tokens.
Tutorials Route each task to the right Claude Opus 5 effort level and cut your token bill.
Tutorials Build a token-thrifty tool-calling agent on Gemini 3.6 Flash using the new thinking_level control.
Tutorials Tune Kimi K3's low/high/max reasoning effort and stream reasoning_content to control token cost.
Tutorials Point the OpenAI SDK at Moonshot's 2.8T K3, load a whole repo, and cut cost with caching.
Tutorials Point the OpenAI SDK at Meta's agent model, add tools, let it self-manage a 1M-token context.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use Anthropic's compact-2026-01-12 beta so long agentic loops survive past the 200K context window.
Tutorials Give Claude agents a token countdown so long agentic loops finish gracefully instead of burning your bill.
Tutorials Load a whole repo into Gemini 3.5 Pro's 2M context, query it without RAG, and cache to cut cost.
Tutorials Hands-on Python guide to Sonnet 5's adaptive thinking, effort levels, and the 30% tokenizer trap.