[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-mistral-small-31-24b":3},{"id":4,"slug":5,"name":6,"hf_id":7,"organization":8,"architecture":9,"architecture_config":10,"parameters":11,"parameters_label":12,"context_length":13,"license":14,"downloads":15,"likes":16,"status":17,"description":10,"huggingface_url":18,"created_at":19,"seo":20,"category":23,"family":26,"score":29,"variants":30,"quantizations":31,"requirements":58,"gpu_recommendations":141,"fitting_gpus":212,"community":247},252,"mistral-small-31-24b","Mistral Small 3.1 24B","mistralai\u002FMistral-Small-3.1-24B-Instruct-2503","mistralai","transformer",null,24000000000,"24B",131072,"MIT",275287,1378,"published","https:\u002F\u002Fhuggingface.co\u002Fmistralai\u002FMistral-Small-3.1-24B-Instruct-2503","2026-08-12T03:11:19+00:00",{"title":6,"description":21,"image":10,"robots":22,"canonical_url":10},"AI 模型部署决策引擎——开源 AI 的 GPU 需求、云端价格与成本分析。","index, follow",{"name":24,"slug":25},"LLM","llm",{"name":27,"slug":28},"Mistral","mistral",0.0157,[],[32,37,42,47,51,55],{"format":33,"bits":34,"size_factor":35,"quality_loss":36},"AWQ",4,0.263,0.03,{"format":38,"bits":39,"size_factor":40,"quality_loss":41},"FP16",16,1,0,{"format":43,"bits":44,"size_factor":45,"quality_loss":46},"FP8",8,0.5,0.01,{"format":48,"bits":34,"size_factor":49,"quality_loss":50},"GGUF",0.25,0.05,{"format":52,"bits":34,"size_factor":53,"quality_loss":54},"GPTQ",0.275,0.04,{"format":56,"bits":44,"size_factor":45,"quality_loss":57},"INT8",0.02,{"FP16":59,"FP8":83,"INT8":97,"AWQ":101,"GPTQ":115,"GGUF":128},{"minimum":60,"production":69,"recommended":76},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":63,"kv_cache_gb":45,"vram_gb":64,"ram_gb":65,"disk_gb":66,"requirement_source":67,"confidence":68},"minimum",4096,44.7,61.5,92.25,108.74,"estimated",0.95,{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":63,"kv_cache_gb":72,"vram_gb":73,"ram_gb":74,"disk_gb":75,"requirement_source":67,"confidence":68},"production",16384,64,179.29,268.94,173.74,{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":63,"kv_cache_gb":44,"vram_gb":80,"ram_gb":81,"disk_gb":82,"requirement_source":67,"confidence":68},"recommended",8192,2,79.82,119.73,134.74,{"minimum":84,"production":89,"recommended":93},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":85,"kv_cache_gb":45,"vram_gb":86,"ram_gb":87,"disk_gb":88,"requirement_source":67,"confidence":68},22.35,33.22,49.84,73.87,{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":85,"kv_cache_gb":72,"vram_gb":90,"ram_gb":91,"disk_gb":92,"requirement_source":67,"confidence":68},148.45,222.67,138.87,{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":85,"kv_cache_gb":44,"vram_gb":94,"ram_gb":95,"disk_gb":96,"requirement_source":67,"confidence":68},50.26,75.39,99.87,{"minimum":98,"production":99,"recommended":100},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":85,"kv_cache_gb":45,"vram_gb":86,"ram_gb":87,"disk_gb":88,"requirement_source":67,"confidence":68},{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":85,"kv_cache_gb":72,"vram_gb":90,"ram_gb":91,"disk_gb":92,"requirement_source":67,"confidence":68},{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":85,"kv_cache_gb":44,"vram_gb":94,"ram_gb":95,"disk_gb":96,"requirement_source":67,"confidence":68},{"minimum":102,"production":107,"recommended":111},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":103,"kv_cache_gb":45,"vram_gb":104,"ram_gb":105,"disk_gb":106,"requirement_source":67,"confidence":68},11.59,19.62,32,57.09,{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":103,"kv_cache_gb":72,"vram_gb":108,"ram_gb":109,"disk_gb":110,"requirement_source":67,"confidence":68},133.6,200.4,122.09,{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":103,"kv_cache_gb":44,"vram_gb":112,"ram_gb":113,"disk_gb":114,"requirement_source":67,"confidence":68},36.03,54.05,83.09,{"minimum":116,"production":120,"recommended":124},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":117,"kv_cache_gb":45,"vram_gb":118,"ram_gb":105,"disk_gb":119,"requirement_source":67,"confidence":68},11.73,19.79,57.31,{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":117,"kv_cache_gb":72,"vram_gb":121,"ram_gb":122,"disk_gb":123,"requirement_source":67,"confidence":68},133.79,200.69,122.31,{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":117,"kv_cache_gb":44,"vram_gb":125,"ram_gb":126,"disk_gb":127,"requirement_source":67,"confidence":68},36.22,54.33,83.31,{"minimum":129,"production":133,"recommended":137},{"scenario":61,"context_length":62,"batch_size":40,"weight_gb":130,"kv_cache_gb":45,"vram_gb":131,"ram_gb":105,"disk_gb":132,"requirement_source":67,"confidence":68},12.01,20.15,57.74,{"scenario":70,"context_length":71,"batch_size":34,"weight_gb":130,"kv_cache_gb":72,"vram_gb":134,"ram_gb":135,"disk_gb":136,"requirement_source":67,"confidence":68},134.18,201.27,122.74,{"scenario":77,"context_length":78,"batch_size":79,"weight_gb":130,"kv_cache_gb":44,"vram_gb":138,"ram_gb":139,"disk_gb":140,"requirement_source":67,"confidence":68},36.59,54.88,83.74,{"recommended":142,"cheapest":164,"performance":180,"min_complexity":195,"cluster_options":208,"no_match":209,"required_vram_gb":112,"candidate_count":210,"usage":211},{"gpu_model":143,"gpu_model_id":144,"gpu_count":40,"total_vram_gb":145,"hour_price":146,"monthly_cost":147,"providers":148,"bandwidth_gbps":153,"fp16_tflops":154,"interconnect_score":155,"parallel_efficiency":40,"score":156,"tier":157,"perf_metric":158,"perf_label":159,"perf_value":160,"workload":10,"cost_metric":161},"H100 SXM",10,80,1.6059,1172.31,[149,150,151,152],"vast","tensordock","runpod","lambda",3350,66.9,40,0.6096,"balanced","tok\u002Fs","289 tok\u002Fs",289,{"effective_value":162,"effective_unit":158,"capacity_factor":163},202.3,0.7,{"gpu_model":165,"gpu_model_id":166,"gpu_count":34,"total_vram_gb":167,"hour_price":168,"monthly_cost":169,"providers":170,"bandwidth_gbps":171,"fp16_tflops":172,"interconnect_score":155,"parallel_efficiency":173,"score":174,"tier":175,"perf_metric":158,"perf_label":176,"perf_value":177,"workload":10,"cost_metric":178},"RTX 5070",28,48,0.0101,29.49,[149],672,61,0.6,0.6107,"cheapest","139.2 tok\u002Fs",139.2,{"effective_value":179,"effective_unit":158,"capacity_factor":163},97.4,{"gpu_model":181,"gpu_model_id":182,"gpu_count":44,"total_vram_gb":183,"hour_price":184,"monthly_cost":185,"providers":186,"bandwidth_gbps":187,"fp16_tflops":188,"interconnect_score":155,"parallel_efficiency":189,"score":190,"tier":157,"perf_metric":158,"perf_label":191,"perf_value":192,"workload":10,"cost_metric":193},"H200 SXM",11,1128,3.5,20440,[152],4800,989,0.4,0.2197,"1325.3 tok\u002Fs",1325.3,{"effective_value":194,"effective_unit":158,"capacity_factor":163},927.7,{"gpu_model":196,"gpu_model_id":197,"gpu_count":40,"total_vram_gb":167,"hour_price":198,"monthly_cost":199,"providers":200,"bandwidth_gbps":201,"fp16_tflops":202,"interconnect_score":155,"parallel_efficiency":40,"score":203,"tier":175,"perf_metric":158,"perf_label":204,"perf_value":205,"workload":10,"cost_metric":206},"RTX A6000",6,0.2874,209.8,[149,152],768,77,0.6909,"66.3 tok\u002Fs",66.3,{"effective_value":207,"effective_unit":158,"capacity_factor":163},46.4,[],false,22,"value",[213,217,225,232,239],{"name":196,"vram_gb":167,"cheapest_hour":198,"cost":214,"provider":149,"estimated_tps":205},{"hourly":198,"daily":215,"monthly":199,"yearly":216},6.9,2517.62,{"name":218,"vram_gb":167,"cheapest_hour":219,"cost":220,"provider":149,"estimated_tps":224},"L40S",0.4004,{"hourly":219,"daily":221,"monthly":222,"yearly":223},9.61,292.29,3507.5,74.5,{"name":226,"vram_gb":167,"cheapest_hour":227,"cost":228,"provider":149,"estimated_tps":41},"RTX PRO 6000 WS",0.6689,{"hourly":227,"daily":229,"monthly":230,"yearly":231},16.05,488.3,5859.56,{"name":233,"vram_gb":167,"cheapest_hour":234,"cost":235,"provider":149,"estimated_tps":41},"RTX PRO 6000 S",0.7339,{"hourly":234,"daily":236,"monthly":237,"yearly":238},17.61,535.75,6428.96,{"name":240,"vram_gb":145,"cheapest_hour":241,"cost":242,"provider":149,"estimated_tps":246},"A100 80GB",1.2,{"hourly":241,"daily":243,"monthly":244,"yearly":245},28.8,876,10512,175.9,{"posts_count":41,"benchmarks_count":41}]