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JP the catJP the Cat

The AI coding cost & usage library

Straight answers on what your AI coding agents cost and how close you are to your limits — model pricing, calculators, rate-limit explainers, and honest comparisons. Claude Code, Codex, Grok, and Muse Spark are tracked today; 59 more providers are on the roadmap.

Pricing accuracy

Grok 4.6 stays in the total

Grok Build records Grok 4.6 under its own internal model ID. JP maps that usage to xAI's canonical Grok 4.6 rates — $2 input, $0.50 cached input, and $6 output per million tokens — so the session is counted instead of omitted as unpriced.

See every Grok rate

Value benchmark

Best bang for the buck

Ranked from JP the Cat's bundled model pricing table using a standard coding-agent session — 500K input, 100K output, and 2000K cache-read tokens — then divided by qualitative effort (high / medium / low). Higher effort at lower session cost wins. Codex, Gemini, Grok, and Muse Spark figures are notional list price, not subscription spend.

Best high effort

GPT-5.6 Luna

$0.26 / session · notional

Best medium effort

Composer 2.5

$0.60 / session · notional

Best low effort

Gemini 2.5 Flash-Lite

$0.11 / session · notional

Top models ranked by effort-adjusted value per standard coding session
#ModelEffortSession costBasis
1
GPT-5.6 LunaOpenAI (GPT-5.x / Codex)
High$0.26Notional
2
Gemini 2.5 Flash-LiteGoogle Gemini
Low$0.11Notional
3
Composer 2.5xAI (Grok)
Medium$0.60Notional
4
GPT-5.1-Codex-MiniOpenAI (GPT-5.x / Codex)
Low$0.37Notional
5
Grok 4.3xAI (Grok)
High$1.27Notional
6
Muse Spark 1.1Meta (Muse Spark)
High$1.35Notional
7
Gemini 2.5 FlashGoogle Gemini
Low$0.46Notional
8
Grok Build 0.1xAI (Grok)
Medium$1.10Notional

See blended $/MTok or tokens-to-dollars to model your own mix.