DeepSeek 的 V4 Flash 模型在成本效益方面相比领先的专有模型具有显著优势，其智能是 Claude Opus 的每美元 41 倍，是 GPT-5.5 的每美元 44 倍。同样，DeepSeek 的 V3.2 模型在成本效益方面比 GPT-5.6 Sol 提高了 20 倍。MiniMax 的 M2.7 模型相比 Claude Opus 也显示出显著的每美元智能优势，高出 13 倍。这些比较基于使用一致基准和方法论的独立数据，突显了可自托管的开源模型的成本效益。 AI
影响 凸显了开源模型显著的成本效益优势，可能推动预算有限的 AI 部署。
排序理由 该集群报告了基于独立数据的各种 AI 模型成本效益的基准测试结果比较。
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💰 DeepSeek V4 Flash gives you 77x more intelligence per dollar than Claude Fable 5. Intelligence index: 40.3 vs 59.9 Blended price: $0.175 vs $20 per 1M tokens Same benchmarks. Same methodology. One you can download and self-host. The other you rent. Independent data → https:// o…
💰 DeepSeek V4 Flash gives you 41x more intelligence per dollar than Claude Opus 4.8. Intelligence index: 40.3 vs 55.7 Blended price: $0.175 vs $10 per 1M tokens Same benchmarks. Same methodology. One you can download and self-host. The other you rent. Independent data → https:// …
💰 DeepSeek V4 Flash gives you 44x more intelligence per dollar than GPT-5.5. Intelligence index: 37.4 vs 54.8 Blended price: $0.175 vs $11.25 per 1M tokens Same benchmarks. Same methodology. One you can download and self-host. The other you rent. Independent data → https:// opens…
💰 DeepSeek V3.2 gives you 20x more intelligence per dollar than GPT-5.6 Sol. Intelligence index: 32 vs 57.7 Blended price: $0.315 vs $11.25 per 1M tokens Same benchmarks. Same methodology. One you can download and self-host. The other you rent. Independent data → https:// opensou…
💰 MiniMax-M2.7 gives you 13x more intelligence per dollar than Claude Opus 4.8. Intelligence index: 38.1 vs 55.7 Blended price: $0.525 vs $10 per 1M tokens Same benchmarks. Same methodology. One you can download and self-host. The other you rent. Independent data → https:// opens…