ele entregou tudo pra China.
A China respondeu o bloqueio do Fábio 5 em cinco dias e fez exatamente o oposto do que o governo americano queria.Enquanto o modelo mais falado da história ficava trancado pra 96% do mundo, a Zhipu AI soltou o GLM-5.2: open source, licença MIT, um décimo do preço, e #1 do mundo em raciocínio com o Fábio suspenso.
E não veio sozinho Kimi K2.6, DeepSeek V4-Pro, Qwen3, MiniMax M2.7. Um exército open source que nenhum governo consegue bloquear.
▶️ Assista antes o vídeo do bloqueio do Fábio 5: https://youtu.be/rfw7FsylvXI
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🔗 Fontes citadas no vídeo:
Reuters — Bloqueio do Fábio 5:
https://www.reuters.com/technology/us-blocks-foreign-access-anthropics-most-advanced-ai-models-axios-reports-2026-06-13/
The Conversation — Por que o governo bloqueou:
https://theconversation.com/why-the-us-government-shut-down-anthropics-latest-claude-ai-model-285223
Benchmarks do Fábio 5:
https://www.vellum.ai/blog/claude-fable-5-and-mythos-5-benchmarks-explained
Preços do Fábio 5:
https://www.finout.io/blog/claude-fable-5-mythos-5-pricing-benchmarks
GLM-5.2 — Lançamento:
https://gigazine.net/gsc_news/en/20260617-z-ai-glm-5-2-release
GLM-5.2 — Stats completos:
https://llm-stats.com/models/glm-5.2
GLM-5.2 — AIME 2026:
https://the-decoder.com/zhipu-ais-glm-5-2-closes-in-on-closed-source-leaders-in-coding-marathons/
BridgeBench Reasoning Leaderboard:
https://www.bridgebench.ai/reasoning
Design Arena — GLM-5.2 chegou ao #1:
https://www.reddit.com/r/LocalLLaMA/comments/1u7qti8/glm52_is_now_1st_on_design_arena_ahead_of_the_now/
SWE-Bench Verified Leaderboard:
https://vals.ai/benchmarks/swebench
Kimi K2.6 — Arquitetura e benchmarks:
https://www.gmicloud.ai/en/blog/kimi-k2-6-architecture-benchmarks-and-what-it-means-for-production-ai
Kimi K2.6 — Economia de custos:
https://medium.com/@tentenco/kimi-k2-6-kimi-code-review-saving-88-coding-costs-b7e8c5eaf5f1
DeepSeek V4-Pro — Pricing:
https://deepinfra.com/blog/deepseek-v4-pro-pricing-guide-2026-providers-cost-analysis
Terminal-Bench 2.0 — Leaderboard:
https://www.tbench.ai/leaderboard/terminal-bench/2.0
MiniMax M2.7 — Lançamento oficial:
https://www.minimax.io/news/minimax-m27-en
MiniMax M2.7 — Análise técnica:
https://pub.towardsai.net/i-tested-the-230b-model-that-trains-itself-minimax-m2-7-a0e066ef816c
Comparativo geral de LLMs:
https://www.vellum.ai/llm-leaderboard Receive SMS online on sms24.me
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