okenai

一款比giffgaff保号还便宜的的卡CTExcel 0开卡，预充1英镑（约9元），国内免费免费快递到家，支持 微信 支付宝支付。 90天发一条短信，只要0.1英镑（0.9元）保号，一年仅0.4英镑(3.6元)。 无需实名，可以转eSIM。开启WiFi Calling，发短信仅需0.08英镑。 一卡双号，跟香港月神卡有点类似。 转eSIM需要3英镑，(看个人需求) 待测试是否可以通过wifi calling激活。 如果是新卡版无法通过wifi-calling激活。 ctexcel.com/freecard/home(直达)

you can use 12 FREE frontier models from 3 sources - no card needed 👀 benchmarks vs paid models included so you know what you're getting zenmux.ai (no cc): glm 5.2 → 62.1% swe-bench (beats gpt 5.5) kimi k2.7 code → #1 tiny bench, 1t params step 3.7 flash → fast agent loops mistral ai (1b tokens/mo free): mistral large 3 → 77.6% swe-bench verified codestral → beats gpt 5.5 on code gen mathstral → math/reasoning specialist nvidia build.nvidia.com (free): deepseek v4 flash → fastest reasoning, 40+ tok/s qwen 3.5 397b → 77% swe-bench, runs on consumer gpu kimi k2.6 → best for agentic/long context glm 5.1 → 58.4% swe-bench, solid coding minimax m3 → #1 b.ai leaderboard, 59% swe-bench 12 models. combined value: $200+/mo each if paid. total cost: $0. setup guides: zenmux.ai (glm 5.2 / kimi k2.7 / step 3.7 flash): > zenmux.ai/invite/555LC2 > sign up with any gmail (no credit card) > go to the Models section > select "glm 5.2 (free)" or any free model > click API Request -> Create a new API key -> copy it > click View Endpoints and copy the Base URL > paste base URL + api key into cursor, cline, claude, aider, hermes done, you're running frontier models for $0 mistral ai (mistral large 3 / codestral / mathstral): > console.mistral.ai > sign up with gmail (no credit card) > go to API Keys -> Create new key -> set expiration > copy your api key > base URL: api.mistral.ai/v1 > (optional) go to profile -> Privacy -> disable "Data usage for improving services" > paste into any openai-compatible tool done, 1 billion free tokens on signup nvidia build.nvidia.com (deepseek v4 flash / qwen 3.5 / minimax m3 / etc): > build.nvidia.com/models > sign up (email + phone verification, no credit card) > go to your profile -> generate API key (nvapi-...) > base URL: integrate.api.nvidia.com/v1 > paste into cursor, cline, aider, continue.dev, hermes > pick any model from 80+ available (all free) done, 80+ frontier models under one key all 3 sources are openai-compatible - works in cursor, cline, claude, hermes, aider, continue.dev, windsurf bookmark this before the free tiers shift

GLM-5.2 leads open weights models and sits at #3 overall on GDPval-AA, a real-world agentic work benchmark GLM-5.2 from @Zai_org scores 1524 Elo on GDPval-AA, which measures performance on real-world, economically valuable knowledge work through long-horizon, multi-turn tasks. Key takeaways: ➤ #3 overall, behind only Claude Fable 5 (1783) and Claude Opus 4.8 (1615), and level with GPT-5.5 (xhigh, 1509) ➤ The leading open weights model by a wide margin: the next open model, MiniMax-M3, scores 1408 ➤ Ahead of many proprietary models, including Google's Gemini 3.5 Flash (1357), Qwen 3.7 Max (1289), Muse Spark (1158) ➤ The tasks are agentic. GLM-5.2 averaged ~31 turns per task across 1,999 matches ➤ Consistent with the rest of its launch, GLM-5.2 also leads open weights on the Artificial Analysis Intelligence Index, ranks #3 on the Agentic Index, and #3 on AA-Briefcase