Moonshot's open model Kimi K2.7 Code undercuts GPT-5.5 and Claude by up to 12x on price per token
Quick Answer
Moonshot AI's Kimi K2.7 Code, an open-weights model with one trillion parameters, offers a cost-effective alternative to GPT-5.5 and Claude Opus 4.8, undercutting them by up to 12x on price per token.
Quick Take
Moonshot AI's Kimi K2.7 Code, an open-weights model with one trillion parameters, offers a cost-effective alternative to GPT-5.5 and Claude Opus 4.8, undercutting them by up to 12x on price per token. While it lags in coding benchmarks, the increased usage for the same budget raises questions about its overall value for programmers.
Key Points
- Kimi K2.7 Code has one trillion parameters designed for programming tasks.
- It is priced up to 12x lower per token than GPT-5.5 and Claude Opus 4.8.
- Despite lower costs, Kimi K2.7 Code still trails in coding benchmarks.
- The model's affordability raises questions about its practical value for developers.
- Moonshot AI positions Kimi K2.7 Code as a budget-friendly alternative.
Article Excerpt
From source RSS / original summaryMoonshot AI has released Kimi K2. 7 Code, an open-weights model with one trillion parameters built for programming. It still trails GPT-5. 5 and Claude Opus 4. 8 in coding benchmarks but costs a fraction of the price. So the key question isn't whether it's the best model, but whether the extra runs you get for the same budget make up for the gap in quality. The article Moonshot's open model Kimi K2. 7 Code undercuts GPT-5. 5 and Claude by up to 12x on price per token appeared first on The Decoder.
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