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Moonshot AI drops the Kimi K2.7 Code Turbo version: Inference speed boosts by 6x, ML engineering benchmarks outpace Anthropic Fable-5.
Moonshot AI has launched the open-source multimodal programming large model Kimi K2.7 Code Turbo version, with inference speed ramping up by 6x, while API pricing has doubled. Meanwhile, developer WecoAI's assessments show that Kimi-K2.7-Code scores 93.6% in autonomous research ML Engineering tasks, surpassing several leading large models like Anthropic Fable-5.
Why it matters: The Chinese AI team has achieved a breakthrough in large model performance, and the significant increase in inference efficiency will greatly reduce costs for developers.
#Kimi #AI #人工智能 #large model
Moonshot AI has launched the open-source multimodal programming large model Kimi K2.7 Code Turbo version, with inference speed ramping up by 6x, while API pricing has doubled. Meanwhile, developer WecoAI's assessments show that Kimi-K2.7-Code scores 93.6% in autonomous research ML Engineering tasks, surpassing several leading large models like Anthropic Fable-5.
Why it matters: The Chinese AI team has achieved a breakthrough in large model performance, and the significant increase in inference efficiency will greatly reduce costs for developers.
#Kimi #AI #人工智能 #large model
🚨 China's AI Models Are Closing the Gap Fast GLM 5.2 just ranked #2 in long-cycle business simulation benchmarks.
Kimi K2.7 and MiniMax M3? Mixed results — but still in the fight.
What the data shows:
GLM 5.2 scores 91 vs Kimi K2.6's 81 on aggregate benchmarks — with GLM dominating knowledge tasks at 67.2 vs 53.8. Yahoo Finance
In cybersecurity benchmarks, GLM 5.2 beat Claude Code — with MiniMax M3 and Kimi K2.7 scoring significantly lower, clustered closely together. Followin
But here's the real story 👇
GLM 5.2 costs just one-seventh of GPT-5.5 — at a fraction of the price, open-weight Chinese models are now competitive with frontier closed-source APIs. 3Commas
Why this matters for crypto & Web3:
AI inference costs are dropping fast. When open-weight models match closed APIs at 1/7th the price:
① AI agents become cheap enough to deploy on-chain at scale
② Decentralized AI projects get access to frontier-level models without paying OpenAI prices
③ US AI dominance narrative starts cracking
The geopolitical angle:
US government just restricted GPT-5.6 rollout over security concerns. Meanwhile China's GLM 5.2 is open-weight — anyone can run it, anywhere, no government approval needed.
Censorship-resistant AI + cheap inference = exactly what Web3 needs. 👀
My take:
The AI race isn't just US vs China anymore.
It's open vs closed.
And open is winning on price. Closed is still winning on raw capability — for now.
Watch this space. The gap is closing every month.
Not financial advice. DYOR.
Sources: BenchLM, Medium, Semgrep — June 2026
#GLM #Kimi $BTC #MiniMax #OpenSource #CoinbroNews
Kimi K2.7 and MiniMax M3? Mixed results — but still in the fight.
What the data shows:
GLM 5.2 scores 91 vs Kimi K2.6's 81 on aggregate benchmarks — with GLM dominating knowledge tasks at 67.2 vs 53.8. Yahoo Finance
In cybersecurity benchmarks, GLM 5.2 beat Claude Code — with MiniMax M3 and Kimi K2.7 scoring significantly lower, clustered closely together. Followin
But here's the real story 👇
GLM 5.2 costs just one-seventh of GPT-5.5 — at a fraction of the price, open-weight Chinese models are now competitive with frontier closed-source APIs. 3Commas
Why this matters for crypto & Web3:
AI inference costs are dropping fast. When open-weight models match closed APIs at 1/7th the price:
① AI agents become cheap enough to deploy on-chain at scale
② Decentralized AI projects get access to frontier-level models without paying OpenAI prices
③ US AI dominance narrative starts cracking
The geopolitical angle:
US government just restricted GPT-5.6 rollout over security concerns. Meanwhile China's GLM 5.2 is open-weight — anyone can run it, anywhere, no government approval needed.
Censorship-resistant AI + cheap inference = exactly what Web3 needs. 👀
My take:
The AI race isn't just US vs China anymore.
It's open vs closed.
And open is winning on price. Closed is still winning on raw capability — for now.
Watch this space. The gap is closing every month.
Not financial advice. DYOR.
Sources: BenchLM, Medium, Semgrep — June 2026
#GLM #Kimi $BTC #MiniMax #OpenSource #CoinbroNews
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