Input: $0.95

Cache hit (most important): $0.19

Output: $4.00

This is the same as how much Moonshot charges for it, and it puts it at roughly the price of GPT 5.4 mini, not a bad option.

For some context here is a stupid prompt that wastes tokens: "Play a game of tic tac toe against yourself on a 5x5 board, you need 5 in a row to win."

It costs $0.006 on Kimi K2.7, and you get to see the whole raw reasoning trace.

GPT-5.4 mini costs $0.016 and its summarized.

And in case you are wondering both play incredibly stupidly.

Kimi:

      A   B   C   D   E
  1   .   .   .   .   .
  2   .   .   .   .   .
  3   X   X   X   X   X
  4   .   O   O   O   O
  5   .   .   .   .   .

  1: X X X X X
  2: O O . . .
  3: . . O . .
  4: . . . O .
  5: . . . . O

Btw if anyone is wondering, GPT 5.5 does the same garbage as 5.4 mini for 4 times the cost.

Fable manages to make a reasonable game, at a cost of 40 cents.

  X X O O O
  O O X X X
  X X X O O
  X O O X O
  X O X X O

Nice idea. I just asked Haiku to do the same in Claude Chat on iOS: it created a interactive react game, implemented the rules and let it play. Clever move for 1$ input and 5$ output, Anthropic!

While LLM models are bad at games, they are perfectly capable of writing a RL agent to train on the game itself.

when i will be extremely bored, I think I will make two models play chess against each other. I bet there's a chess benchmark / llm tournament already somewhere

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