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English(EN) Qwen3.8-2.4T-A95B is now live on Fireworks with Day-0 support!

Fireworks AI 新增 DeepSeek-V4-Pro 和 Qwen3.8 模型

作者 PulseAugur 编辑部 · [3 个来源] ·

Fireworks AI 已宣布在其平台上推出两款新的大型语言模型：DeepSeek-V4-Pro-0813 和 Qwen3.8-2.4T-A95B。DeepSeek-V4-Pro-0813 专为代理和工具增强型工作流程而设计，在质量基准测试中表现优于 Opus 4.8 等模型，并提供显著的成本效益。Qwen3.8-2.4T-A95B 是一款大型 MoE 模型，适用于自主代理、繁重的编码任务和大上下文窗口。 AI

影响 使代理和编码任务在新的平台上能够使用先进的模型。

排序理由 Fireworks AI 是一个推理平台，而不是前沿模型实验室。

在 X — Fireworks (inference infra) 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Fireworks AI 新增 DeepSeek-V4-Pro 和 Qwen3.8 模型

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Fireworks AI 是一个推理平台，而不是前沿模型实验室。
Source corroboration
3 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
48 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
Coverage growth since scoring
+1 source(s) since last score
New sources have picked up this story since our last re-score. Score will update on the next scoring pass.

完整方法见我们的编辑标准。

报道来源 [3]

  1. X — Qwen (Alibaba) TIER_1 English(EN) · Alibaba_Qwen ·

    Qwen3.8-Max已在Fireworks上线，可用于代理、重度编码和长上下文工作。Fireworks是我们Day 0的发布合作伙伴。真是太棒了

    Qwen3.8-Max is live on Fireworks, ready for agents, heavy coding, and long-context work. Fireworks is right there with us as a Day 0 launch partner. What a way to kick things off!It's Day 0, cue the Fireworks! 🎉🎆 https://t.co/45CPcGFF16

  2. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    DeepSeek-V4-Pro-0813 在 Fireworks 上线 Day-0！

    DeepSeek-V4-Pro-0813 is live Day-0 on Fireworks! Built for agentic and tool-augmented workflows, it outperforms Opus 4.8 on quality benchmarks like Terminal Bench 2.1, Cybergym, and DeepSWE at up to 6x the cost efficiency. It is on par with leading frontier models on Vals Index…

  3. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    Qwen3.8-2.4T-A95B 现已在 Fireworks 上线，支持 Day-0！

    Qwen3.8-2.4T-A95B is now live on Fireworks with Day-0 support! This 2.4T parameter MoE model is built for autonomous agents, heavy coding, large context windows, and is ideal for coding and agentic performance. Start building today: https://t.co/PJfRDyxtZ8 https://t.co/XkJU4Pho…

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