MiniMax-M2.7模型已在六家推理服务商上线,各提供商在速度和价格上差异明显。SambaNovaAI以每秒435个输出令牌的速度领先,比其他提供商快3倍以上,但其价格也高出约2倍。FireworksAI、Novita Labs等四家则与MiniMax官方API定价持平。分析指出,Fireworks和SambaNova在速度与价格的权衡中处于帕累托前沿:前者性价比高,后者则以高价换取极致速度。此外,各家的高速缓存折扣政策不同,这对缓存密集型工作负载的成本影响显著。因此,最优选择高度依赖于具体工作负载对延迟和成本的敏感度。
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
来源:Artificial Analysis · x.com