Cost illusion in Task vs Token between Opus 4.7 and K2.6 💭

Reddit r/ArtificialInteligence News
cost-comparison token-pricing task-cost kimi-k2-6 claude-opus-4-7 ai-models efficiency

Summary

Comparison of cost per token vs cost per task between Kimi K2.6 and Claude Opus 4.7, showing that despite being cheaper per token, Kimi burns more tokens so the savings per task are less significant.

Kimi K2.6 is 6x cheaper per token than Claude Opus 4.7. But per task? It's only 39% cheaper. Kimi K2.6 $0.76 per task Claude Opus 4.7 $1.24 per task Kimi burns so many tokens to complete a task that the 6x pricing advantage nearly disappears on benchmark. Cheaper per token not equaling to cheaper to use unless it’s for specified tasks. The model takes 2x the tokens and 7x longer to finish, the savings may not be as much. It’s important to recognize also that Kimi K2.6 has also significantly less context window compared to Opus 4.7, each model should have different tasks for optimal cost in a work flow put together Compare cost per task and token prices is an interesting lens to see it from, but if you have several Mac machines lying around Kimi is open source and then cost wouldn’t be a factor at all. Kimi is still a wonderful model that gives you more tries per million compared to Opus so it should never be fully written off.
Original Article

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