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中國模型登頂全球AI令牌使用排行

中國模型登頂全球AI令牌使用排行
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🇭🇰閱讀原文： SCMP Technology
#token-ranking#chinese-ai#model-popularityminimax-m2.5minimaxmoonshotopenrouter

💡Chinese open-source LLMs surpass US models in global usage—benchmark for your next project.

⚡ 30-Second TL;DR

有什麼變化

MiniMax M2.5登頂OpenRouter令牌使用排行

為什麼重要

凸顯中國AI公司在開源領域競爭力上升，提供比美國模型更具成本效益的高性能替代方案。AI從業者透過OpenRouter等平台獲得更多可擴展部署選項。

下一步行動

Deploy MiniMax M2.5 via OpenRouter API to test its top-ranked token efficiency.

誰應關注：Developers & AI Engineers

關鍵要點

  • •MiniMax M2.5登頂OpenRouter令牌使用排行
  • •Moonshot AI模型與MiniMax並列前列
  • •終結美國一年AI模型使用主導
  • •由中國開源模型新發布推動

🧠 深度解析

背景與延伸：來自公開資料，非原文內容。引用 9 個來源。

🔑 增強重點摘要

  • •Chinese models captured 61% of total token volume on OpenRouter, with MiniMax M2.5 at 2.45 trillion tokens, Kimi K2.5 at 1.21 trillion, and Zhipu's GLM-5 at 780 billion.[2][3]
  • •MiniMax M2.5 launched on February 13, 2026, as the world’s first production-grade model natively designed for agent scenarios, achieving 3.07 trillion tokens in its first seven days and a 197% week-over-week surge.[2]
  • •Moonshot AI's Kimi K2.5 generated revenue in under 20 days post-launch exceeding its entire 2025 total, with overseas revenue surpassing domestic for the first time, fueled by global paid subscribers and API usage.[2]
  • •Pricing advantage is key: MiniMax M2.5 and GLM-5 at $0.30 per million input tokens vs. Claude Opus 4.6 at $5.00, making them 16.7 times cheaper.[2]
📊 競品分析▸ Show
ModelParametersContext WindowKey BenchmarksPricing (Input/Output per 1M tokens)
MiniMax M2.5230B205KSWE-bench Verified 80.2, HumanEval 89.6$0.30 / ?
Kimi K2.51T total (32B active MoE)262KHumanEval 99.0, MMLU 92.0, MATH-500 98.0?
GLM-5??Top coding usage$0.30 / ?
Claude Opus 4.6??Lower token usage$5.00 / ?

🛠️ 技術深入

  • •MiniMax M2.5: 230B parameters, 205K context window; excels in real-world software engineering with SWE-bench Verified 80.2 (highest), Multi-SWE-Bench 51.3, BrowseComp 76.3; trained for agent scenarios, office tools (Word, Excel, PowerPoint), context switching, and token-efficient planning.[1][4]
  • •Kimi K2.5: 1T total parameters (32B active per token, MoE architecture), 262K context window; native multimodal with visual coding and self-directed agent swarm; standout benchmarks include HumanEval 99.0, MMLU 92.0, MMLU-Pro 87.1, LiveCodeBench 85.0, AIME 2025 96.1, GPQA Diamond 87.6, MATH-500 98.0, Chatbot Arena 1447, IFEval 94.0; continued pretraining on 15T mixed visual/text tokens.[1][4]

🔮 前景展望AI analysis grounded in cited sources

Chinese models will exceed 70% OpenRouter share by Q2 2026
Driven by pricing 16.7x lower than US leaders, superior coding/agent benchmarks, and surging global demand as shown in 61% share and revenue records.[2]
Agentic workflows will define LLM market leadership
Top models like M2.5 prioritize native agent design, SWE-bench dominance, and tool-calling, shifting competition from general reasoning to practical automation.[2][4]
Moonshot AI valuation will double post-K2.5 revenue surge
Already China's fastest decacorn with 20-day revenue topping 2025 total and overseas surpassing domestic, signaling hyper-growth trajectory.[2]

⏳ 時間線

2026-02-13
MiniMax launches M2.5, world's first production-grade agent-native model
2026-02
Moonshot AI releases Kimi K2.5, achieving record revenue surge
2026-02-24
OpenRouter data shows Chinese models at 61% token share, MiniMax M2.5 #1
🇭🇰閱讀原文： SCMP Technology
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