Kimi K3 is claimed to have 2.8 trillion parameters and a sharp token-price gap
thisguyknowsai · x · 2026-07-22
A repost claims Kimi K3 was released last week with 2.8 trillion parameters and weights landing on July 27.
The post says it benchmarks just behind Claude Fable 5 and GPT-5.6, while also highlighting a price comparison for output tokens:
- Claude Fable 5: $50 per million output tokens
- Kimi K3: $15
- GLM-5.2: $4.40
- DeepSeek V4: $0.87
The argument is that for repetitive document-extraction workloads, the quality gap between frontier models and good open models is shrinking, but the price gap remains large. The poster also notes that teams often keep using the pipeline model they already chose rather than re-testing newer options.
Related event: Moonshot Releases 2.8 Trillion Parameter Open-Weight Model Kimi K3(8 posts)→
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