REAL-TIME GLOBAL RESEARCH
AI Series #58: Kimi K3 Model Capabilities an Unexpected Surprise for Market
Research evidence excerpt
AI Series #58: Kimi K3 Model Capabilities an Unexpected Surprise for Market
China (PRC) | Internet EquityJulyResearch16, 2026
Exhibit 1 - Input and output prices for flagshipAI Series #58: Kimi K3 Model Capabilities an
models by companies
Models Total parameters Input Price (USD) Output Price (USD)
Kimi-3 2.8T 3.00 15.00Unexpected Surprise for Market DeepSeek-V4-Pro 1.6T 0.87 1.74
Qwen3.7 Max 1.2T 2.50 7.50
GLM-5.2 744B 1.40 4.40
MiniMax M3 428B 0.60 2.40
Hy3 295B 0.06 0.22Moonshot AI released the first open 2.8T model K3 which ranked No. 3 Claude Opus 4.8 Not disclosed 5.00 25.00
in Artificial Analysis and behind Fable5 and GPT-5.6 Sol (Max). It ranked .Source:Claude SonnetCompany,5 NotJefferiesdisclosed 3.00 15.00
Note: Pricing for Qwen is based on official prices after end of
No. 1 in Frontend Code Arena. We view the breakthrough as unexpected promotion, pricing for DeepSeek-V4-Pro is during peak hours
and drives sector innovation amid fast model iterations. According to Token Exhibit 2 - Blended prices for China models vs
Expenditure Index, it reflects continued appeal for a cost-efficient model US models (2Q26)
(USD per million tokens)
16(Exhibit 3), which is positive for China models with strong cost performance 14
(Exhibit 2) 1210
In this report, we provide investors with data points on model pricing by companies, 42
pricing comparison between China and US, model intelligence from Artificial Analysis, token - Input price Output price
consumption in OpenRouter, Token Expenditure Index trends and other industry data for . China US
analysis. Source: Artificial Analysis, Jefferies
Exhibit 3 - Sillicon Data LLM TokenMoonshot AI released the first open 2.8T model and ranked top positions across different Expenditure Index
metrics (Exhibit 5-6).
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