Tutorials Gemini 4 Argon Long Decode: 200K Tokens, One Request
Use Argon's background long decode to generate 1M tokens of output, with cost math.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials Use Argon's background long decode to generate 1M tokens of output, with cost math.
Tutorials Fireworks' Ember-1 claims 40% fewer tokens than Kimi K3. Build a harness to verify it.
Machine Learning Port the Ox Alpha probe kit to Python: normalized token counts, error DNA, ranked verdict.
Tutorials Keep long-running Grok 4.6 agents cheap: cache keys, token budgets, and the 200K cliff.
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 Use Anthropic's compact-2026-01-12 beta so long agentic loops survive past the 200K context window.