MiniMax (official)· @MiniMax_AI · X·· 2026-05-06AI 评分57
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MiniMax-M2.7模型已在六家推理服务提供商上线,性能与价格呈现明显差异。SambaNovaAI以每秒435个输出令牌的速度领先,是次快的FireworksAI_HQ(127令牌/秒)的3.4倍。在定价上,FireworksAI_HQ等四家提供商与官方API持平,而SambaNova价格高出约2倍。Fireworks和SambaNova在速度与价格的权衡中处于帕累托前沿。各提供商缓存折扣策略不同,部分提供80%折扣,这影响了缓存密集型工作负载的成本。最优选择取决于具体需求:SambaNova更适合延迟敏感型应用,而Fireworks则适用于对延迟不敏感的大规模任务。
正文 · 原文
Thanks to the @SambaNovaAI team. Once M2.7 hits 400 TPS, latency becomes virtually imperceptible.
MiniMax-M2.7 is now available across six inference providers on Artificial Analysis, with significant differentiation in speed and price @SambaNovaAI leads on speed at 435 output tokens/s, >3x faster than any other provider. @FireworksAI_HQ, @novita_labs, @togethercompute, and @GMI_cloud have all matched @MiniMax_AI's first-party API pricing, while SambaNova is 2x higher. Key takeaways: ➤ Fireworks and SambaNova are on the Pareto frontier for Speed vs. Price. At 127 output tokens/s and ~$0.22 per 1M tokens blended, Fireworks is ~2.2x faster than MiniMax's first-party API at the same blended price, whereas SambaNova delivers 435 output tokens/s but at ~2-3.5x the blended price of the other providers (depending on cache usage) ➤ SambaNova is the fastest provider at 435 output tokens/s, ~3.4x the next fastest provider (Fireworks at 127 output tokens/s). The remaining providers run substantially slower: MiniMax’s first-party API at 57 output tokens/s, Novita at 54, GMI at 41, and Together AI at 29 ➤ Cache discounts vary across providers. Fireworks, MiniMax, Novita, and Together AI offer 80% cache hit discounts, while GMI and SambaNova do not offer a discount. For cache-heavy workloads, this can materially increase the relative pricing for GMI and SambaNova ➤ Optimal provider choice depends on workload. SambaNova may be more suited to latency-sensitive deployments, albeit at a higher cost, while Fireworks may be more suitable for high-volume workloads that are not as latency-sensitive在 X 查看被引用的帖子
来源:MiniMax (official) · x.com