Fireworks AI 推出了 GLM-5.2，这是一款拥有 100 万 token 上下文窗口的新前沿模型，针对编码任务进行了优化。该模型已在 SWE-bench 和 GPQA 等基准上进行了独立验证。Fireworks AI 强调其作为端到端推理提供商的角色，区别于仅将调用转发给其他 API 的路由器，提供生产级延迟和零数据保留。 AI
影响 加速需要大上下文窗口的编码代理和应用程序的开发。
排序理由 该集群宣布了 AI 实验室 (Fireworks AI) 发布新前沿模型 (GLM-5.2)，包括其功能和验证的详细信息。
在 X — Fireworks (inference infra) 阅读 →
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Benchmarks are just the starting point. The only eval that matters is the one on your codebase, your prompts, your latency SLOs. Ready to build? Drop accounts/fireworks/models/glm-5p2 into your existing OpenAI/Anthropic‑compatible client and try it on real work. Learn ht…
You may have seen other platforms announce day-zero support within minutes of weights dropping, but there is a key difference between inference providers and routers. Routers forward your GLM 5.2 calls to someone else’s endpoint (typically the model lab’s own API). Fireworks …
GLM 5.2 is live on Fireworks, day zero. 1M-token context, coding‑first frontier model, independently validated on SWE‑bench, Terminal‑Bench, GPQA and AIME. Served on our own infrastructure the moment @Zai_org opened the weights. What’s under the hood ↓ https://t.co/ZpAVEAIB6C