Claude vs ChatGPT API: Which Is Cheaper?
Neither API wins every workload. Learn the token arithmetic once, then read three costed jobs and see exactly where the Claude bill runs higher.
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Claude Code context: stop slow, costly sessions
Every turn re-sends your whole context, so a long session slows down and costs more. Read /context, cut the fixed tax, then clear and compact with intent.
Claude Fable 5: price and when to use it
Claude Fable 5 lists at $10 per million input tokens and $50 per million output. Here is what the published rates mean for the jobs you actually run.
Do Claude's memory features cost extra?
Anthropic publishes no memory token price. Remembered text is replayed as input tokens, so your cost tracks how much you replay and whether it is cached.
How many Claude Pro tokens? 5-hour + weekly caps
Claude Pro has no published token quota. Your token usage counts against a five-hour session limit and a weekly limit, and long chats use it up faster.
Claude Code spend tracking tools compared
Claude Code spend trackers answer different questions. Compare local log parsers against the built-in usage screens and your own OpenTelemetry stack.
Claude effort levels: max vs high
What Claude's five effort levels really do, which level is your default, and why max drains your Pro or Max window and can add usage credit charges.
What are Claude tokens? Claude Code's token math
A Claude token is a few characters. See why a Claude Code turn can bill 80,000 tokens and why five idle minutes on an API key can make the next turn cost 5x.
Ollama num_predict: cap the output length
num_predict caps how many tokens Ollama will write. The three places to set it, which one wins, and how to read done_reason in the response.
Why is Claude so expensive? The token math
Output tokens cost five times input, and every turn re-reads your whole context. See the arithmetic on one real session, and the four levers that cut it.
Input vs Output Tokens: Claude's Cost Gap
Claude output tokens cost five times input. Here is why decoding is slower than prefill, and what that asymmetry does to a real agent bill each month.
Autoprompt skill: fewer failures, more tokens
Autoprompt solves 73 of 89 Terminal-Bench 2.1 tasks against a baseline of 60, at roughly 3x the time and 2x the tokens. What that costs on a rented VPS.
Claude Haiku 5.5: price, tiers and uses
Haiku 5.5 costs $0.10 input and $0.50 output per million tokens, but prompts over 100K cost five times more. See what three real jobs cost against Haiku 4.5.
Caveman Skill: Make Coding Agents Say Less
Caveman shortens what a coding agent writes, and its proxy shrinks what the agent reads. Install it pinned to a release, then measure your own sessions.
Agent harness token overhead: where it goes
Two harnesses on one model can bill an order of magnitude apart. The mechanics behind the gap, and how to measure your own agent's token spend.
Paritok token gateway: cheaper agent bills?
Paritok compresses the file reads and tool output your coding agent sends. The project claims 74% fewer tokens. Here is the mechanism and the break-even math.
Reasoning effort settings on a local LLM
Reasoning effort sets how long a local model thinks before it answers. What the levels change on your own hardware, and how to measure the real cost.
How much is 1M tokens in Claude?
Claude bills per million tokens, input and output priced separately. Here is the arithmetic that turns a token count into a number on your monthly bill.
Claude Pro in Portuguese: limits and tokens
Claude Pro spends your limit in tokens rather than messages, and Portuguese costs more tokens than English. Measure the gap and make your quota last.
Agent skills vs MCP servers vs rules files
Three ways to give a coding agent context, and one rule for picking. See what a skill, an MCP server and a rules file each cost in tokens and upkeep.