kimik3

😳 New Chinese AI network could pose a threat to Bitcoin (CoinDesk)
➠ The company #moonshot AI has unveiled model #KimiK3 , which includes 2.8 trillion parameters and supports a context of up to one million tokens. It reportedly outperformed Claude and #GPT in programming tests.
➠ Kimi K3 will be made available for free with open weights, allowing it to be downloaded and run on private servers and modified without paying fees to developers—undermining the notion that advanced AI will remain scarce, costly, and monopolized by US companies.
➠ The full version is scheduled to be released on July 27. If the announced results are confirmed, the market may reassess the need for massive spending on expensive AI models, chips, and data centers, which could increase pressure on Nvidia.
➠ Bitcoin is increasingly moving in sync with AI company stocks and chipmakers. So, any sell-off wave in technology stocks could also weigh on Bitcoin.
➠ Bitcoin mining firms that are converting their infrastructure into AI data centers may also be affected. If new models require less computing resources, demand for this infrastructure could decline.
➠ For reminder, a similar scenario occurred after the exciting release of the DeepSeek model in 2025, when Nvidia and Bitcoin shares saw a sharp drop $BTC .

🦞 Hermes: Shrimp Farming Memo
🔥 Kimi K3: A new open-source king with 2.8T specs

K3 may be the biggest variable in open-source models this year. For the first time, a Chinese model has taken a seat at the table in global benchmarks of overall intelligence.
In Moonshot AI’s Kimi series, people viewed the K2 era as a competitor to DeepSeek. But with K3, the landscape changes—it directly targets GPT-5.6 and Claude Fable.

Key numbers: 2.8 trillion parameters, 1M token context, multimodal, and full weights opening on July 27.

📊 II. Benchmark performance

Artificial Analysis comprehensive evaluation:
Intelligence Index: 57.1
Coding Index: 76.2
Agentic Index: 50.1

What do 57 points mean? In the same tier as GPT-5.6 Sol (58.9) and Claude Opus 4.8 (55.7), only behind Fable 5 (59.9).

Agent capabilities are even more outrageous:
- GDPval v2 → Elo 1668, surpassing GPT-5.5 and Opus 4.8
- AutomationBench-AA → #1 worldwide
- AA-Briefcase long-task knowledge work → #2 worldwide
- Frontend Code Arena → #1 worldwide (jumping from #18 in K2.6 to #1)

Last year it was about who could chat better; this year it’s about who can get work done better.

💰 III. Price comparison

Kimi K3 (official direct) $1.10 input $5.50 output AA 57.1
Kimi K3 (OR) $3.00 $15.00
DS V4 Pro $0.44 $0.87 44.3
DS V4 Flash $0.14 $0.28 40.3
GPT-5.6 Sol $5.00 $30.00 58.9
Claude Opus 4.8 $5.00 $25.00 55.7
GLM-5.2 $0.94 $2.96 51.1

- 8~20x more expensive than V4 Flash, but Index is higher by 17 points
- 4~5x cheaper than GPT-5.6 Sol, only lower by 1.8 points
- 5~7x more expensive than K2—the official no longer sells it as a “cheap big bowl”

🔓 IV. The significance of opening weights on July 27

The impact comes in three layers:
① Individual developers — A 2.8T parameter model can’t be run locally. You’d need an 18~70 H100 cluster; it’s not feasible for individuals.
② Cloud providers / API middlemen — With the weights, they can build their own inference services, drastically reducing access costs, making price competition possible.
③ Open-source ecosystem — If it’s delivered, K3 will become the open-source model with the strongest overall capabilities, surpassing all open-source contenders like GLM and DeepSeek.

💡 V. Another overlooked piece of data

Compared with K2.6, K3 uses about 21% fewer output tokens, yet achieves higher intelligence scores. This isn’t just “more parameters”—there are clear improvements in inference efficiency and training methods as well.

⚠️ VI. Uncertainty

- Will the weights be delivered as scheduled on 7/27?
- The open-source license terms for a 2.8T model? Commercial restrictions?
- Under the MoE architecture, what is the real-world inference efficiency?
- After API prices increase, will it be able to retain users?

🔮 Summary

K3 isn’t necessarily already the strongest model in the world, but it very likely is a top contender for the world’s strongest open-source model. If the weights are opened on time, the gap between open-source and closed-source will shrink further in the second half of the year. The fault line for Agent capabilities is here—this year’s competition is about who can get work done, not whose parameters are bigger.

#KimiK3 #开源AI #AIAgent

$FET IS RIDING THE AI INFRASTRUCTURE WAVE AS KIMI K3 SQUEEZES MARGINS 🔥

The new Kimi K3 model is set to compress profit margins for top AI companies like OpenAI and Anthropic, while directly boosting demand for cloud services and Token-as-a-Service providers. Citrini analyst Zephyr notes Moonshot will see a surge in computing power needs — a clear tailwind for AI infrastructure plays.

This shift in competitive dynamics often drives capital toward decentralized AI solutions, where $FET sits as a key infrastructure token. The narrative is building, and volume trends on top-tier exchanges suggest accumulation is underway.

Are you positioned for this AI infrastructure rotation?

Not financial advice. Always manage your risk.

#FET #AIInfrastructure #KimiK3 #CloudComputing #Crypto

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