阿
Qwen3 235B A22B 2507
阿里百炼 · Qwen3 235B A22B 2507 (Reasoning)
轻量模型
Input
¥2.0
/M Tokens
Output
¥20.0
/M Tokens
Context
256K
Tokens
Capabilities
对话
Best For
简单问答
查看官方定价页面
M
在 ModelSage 接入此模型Quick Cost Estimate
¥70.0/月
10,000 次调用 · 输入 500 tokens · 输出 300 tokens
自建可行性
vLLM 官方 · 2026-10-14
Qwen3 235B A22B 2507 私有化部署,NVFP4 量化下需显存约 141GB, 至少 1 张 H200,聚合吞吐约 7,867 tok/s。
NVFP4141GB
1×H200 / 1×MI300X
REDHAT-NVFP4152GB
2×H200 / 1×MI300X
FP8240GB
2×H200 / 1×MI325X
vLLM 官方验证过的硬件
H200MI300XMI325XMI355X
同样的量走 API:日均 2 亿 token 约 ¥39,000/月。自建是否更便宜取决于卡价与实际利用率。
按实际卡价测算回本周期显存需求与硬件兼容性取自 vLLM 官方 recipes;卡数按「装得下」估算, 未计入张量并行度、互联拓扑与跨节点开销,实际只多不少。吞吐为公式估算值,非实测。
Price Comparison同价位的其他厂商,点进去看详情
Qwen3 235B A22B 2507CURRENT
¥2.0 / ¥20.0INPUT
OUTPUT
DeepSeek V4 Flash 0731 (max)
¥2.0 / ¥8.0INPUT
OUTPUT
DeepSeek V4 Flash (high)
¥2.0 / ¥8.0INPUT
OUTPUT
DeepSeek V4 Flash (max)
¥2.0 / ¥8.0INPUT
OUTPUT
DeepSeek V3.2
¥2.0 / ¥3.0INPUT
OUTPUT
阿里百炼 Models
Qwen3.8 Max (0902)
¥12.0 / ¥36.0Qwen3.8 Max
¥12.0 / ¥36.0Qwen3.8 2.4T A95B
¥12.0 / ¥36.0Qwen3.8-Flash-Next
¥1.0 / ¥3.1Qwen3.8 27B (xhigh)
¥3.0 / ¥12.0Qwen3.7 Max
¥12.0 / ¥36.0Qwen3.6 Max Preview
¥9.0 / ¥54.0Qwen3.8 27B (medium)
¥3.0 / ¥12.0Qwen3.6 Plus
¥2.0 / ¥12.0Qwen3.8 27B (low)
¥3.0 / ¥12.0Qwen3.7 Plus
¥2.0 / ¥8.0Qwen3.5 27B
¥0.60 / ¥4.8Qwen3.5 397B A17B (non-reasoning)
¥1.2 / ¥7.2Qwen3.6 27B
¥3.0 / ¥18.0Qwen3 Max Thinking
¥2.5 / ¥10.0Qwen3.5 Omni Plus
¥7.0 / ¥40.0Qwen3.8 27B (non-reasoning)
¥3.0 / ¥12.0Qwen3.6 27B (non-reasoning)
¥3.0 / ¥18.0Qwen3.5 27B (non-reasoning)
¥0.60 / ¥4.8Qwen3.5 35B A3B
¥0.40 / ¥3.2Qwen3.5 397B A17B
¥1.2 / ¥7.2Qwen3.6 35B A3B
¥1.8 / ¥10.8Qwen3.5 122B A10B (non-reasoning)
¥0.80 / ¥6.4Qwen3 Max Thinking (Preview)
¥2.5 / ¥10.0Qwen3 Max
¥2.5 / ¥10.0Qwen3.5 122B A10B
¥0.80 / ¥6.4Qwen3.6 35B A3B (non-reasoning)
¥1.8 / ¥10.8Qwen3.5 35B A3B (non-reasoning)
¥0.40 / ¥3.2Qwen3 VL 235B A22B (推理)
¥1.0 / ¥10.0Qwen3.5 9B (non-reasoning)
¥0.50 / ¥2.0Qwen3.5 4B
¥0.30 / ¥1.2Qwen3 Max (Preview)
¥2.5 / ¥10.0Qwen3.5 Omni Flash
¥2.2 / ¥13.3Qwen3 235B 2507
¥2.0 / ¥8.0Qwen3 Coder 480B
¥6.0 / ¥24.0Qwen3 VL 32B (推理)
¥1.0 / ¥10.0Qwen3.5 9B
¥0.50 / ¥2.0Qwen3 Next 80B A3B (推理)
¥1.0 / ¥4.0Qwen3.5 4B (non-reasoning)
¥0.30 / ¥1.2Qwen3 VL 235B A22B (指令)
¥1.0 / ¥10.0Qwen3 30B A3B 2507
¥0.75 / ¥7.5Qwen3 Next 80B A3B (指令)
¥1.0 / ¥4.0Qwen3 Coder 30B A3B
¥1.0 / ¥4.0Qwen3 235B
¥2.0 / ¥20.0Qwen3 VL 30B A3B (推理)
¥0.15 / ¥1.5QwQ-32B
¥2.0 / ¥6.0Qwen3 Coder Next
¥1.0 / ¥4.0Qwen3 32B
¥2.0 / ¥20.0Qwen3 VL 32B (指令)
¥1.0 / ¥10.0Qwen3 235B (non-reasoning)
¥2.0 / ¥8.0Qwen3 14B
¥1.0 / ¥10.0Qwen3 VL 8B (推理)
¥0.15 / ¥1.5Qwen2.5 Max
¥2.4 / ¥9.6Qwen3 VL 30B A3B (指令)
¥0.15 / ¥1.5Qwen3 Omni 30B A3B (推理)
¥1.8 / ¥12.7Qwen2.5 72B
¥2.0 / ¥8.0Qwen3 30B
¥0.75 / ¥7.5Qwen3 30B A3B 2507 (non-reasoning)
¥0.75 / ¥3.0Qwen3 32B (non-reasoning)
¥2.0 / ¥8.0Qwen3 VL 8B (指令)
¥0.15 / ¥1.5Qwen3 8B
¥0.50 / ¥5.0Qwen3 4B
¥0.30 / ¥3.0Qwen3.5 2B
¥0.30 / ¥1.2Qwen3 14B (non-reasoning)
¥1.0 / ¥4.0Qwen3 4B (non-reasoning)
¥0.30 / ¥1.2Qwen3 30B (non-reasoning)
¥0.75 / ¥3.0Qwen2.5 Turbo
¥0.30 / ¥0.60Qwen3.5 2B (non-reasoning)
¥0.30 / ¥1.2Qwen3.5 0.8B
¥0.30 / ¥1.2Qwen3 Omni 30B A3B (指令)
¥1.8 / ¥12.7Qwen3 8B (non-reasoning)
¥0.50 / ¥2.0Qwen3.5 0.8B (non-reasoning)
¥0.30 / ¥1.2Qwen3 1.7B
¥0.30 / ¥3.0Qwen3 0.6B (non-reasoning)
¥0.30 / ¥1.2Qwen3 1.7B (non-reasoning)
¥0.30 / ¥1.2Qwen3 0.6B
¥0.30 / ¥3.0LAST UPDATED: 2026-10-14