Alibaba 模型:智能、性能与价格
Artificial Analysis Intelligence Index
Artificial Analysis 已对 Alibaba 的 89 个模型进行基准测试。下方对这些模型的关键指标进行了比较。
- 智能方面,Alibaba 得分最高的模型是 Qwen3.8 Max (0902)(34)。
- 速度方面,Qwen3.8 27B (Non-reasoning)(18.5 分钟) 的每任务耗时最短。
- 延迟方面,Qwen3.5 9B (Non-reasoning)(1.02 秒) 的首个答案 token 等待时间最短。
- 价格方面,Qwen3.8 27B (Low)($1.91) 的单任务成本最低。不同模型的价格差异最高可达 5.3 倍。
智能
Artificial Analysis Intelligence Index
Intelligence Index 与每项任务的成本
成本
每项 Intelligence Index 任务的成本
速度与延迟
Intelligence Index 每项任务耗时
能力得分
能力指数
Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better
Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better
Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better
Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better
Incorporates 4 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf · Higher is better
Alibaba 的所有发布
Qwen3.8 Max (0902)
1 个模型
34
最高智能得分
Qwen3.8-Flash-Next
1 个模型
Qwen3.8 27B
4 个模型
20
最高智能得分
Qwen3.8 2.4T A95B
1 个模型
Qwen3.8 Max
1 个模型
Qwen3.7 Plus
1 个模型
Qwen3.7 Max
1 个模型
Qwen3.6 27B
2 个模型
Qwen3.6 Max Preview
1 个模型
Qwen3.6 35B A3B
2 个模型
Qwen3.6 Plus
1 个模型
Qwen3.5 Omni Flash
1 个模型
Qwen3.5 Omni Plus
1 个模型
Qwen3.5 0.8B
2 个模型
Qwen3.5 2B
2 个模型
Qwen3.5 4B
2 个模型
Qwen3.5 9B
2 个模型
Qwen3.5 122B A10B
2 个模型
Qwen3.5 27B
2 个模型
Qwen3.5 35B A3B
2 个模型
Qwen3.5 397B A17B
2 个模型
Qwen3 Coder Next
1 个模型
Qwen3 Max Thinking
1 个模型
Qwen3 Max Thinking (Preview)
1 个模型
Qwen3 VL 32B (Reasoning)
1 个模型
Qwen3 VL 32B Instruct
1 个模型
Qwen3 VL 4B (Reasoning)
1 个模型
Qwen3 VL 4B Instruct
1 个模型
Qwen3 VL 8B (Reasoning)
1 个模型
Qwen3 VL 8B Instruct
1 个模型
Qwen3 VL 30B A3B (Reasoning)
1 个模型
Qwen3 VL 30B A3B Instruct
1 个模型
Qwen3 Max
1 个模型
Qwen3 VL 235B A22B (Reasoning)
1 个模型
Qwen3 VL 235B A22B Instruct
1 个模型
Qwen3 Omni 30B A3B (Reasoning)
1 个模型
Qwen3 Omni 30B A3B Instruct
1 个模型
Qwen3 Next 80B A3B (Reasoning)
1 个模型
Qwen3 Next 80B A3B Instruct
1 个模型
Qwen3 Max (Preview)
1 个模型
Qwen3 4B 2507 Instruct
1 个模型
Qwen3 4B 2507 (Reasoning)
1 个模型
Qwen3 Coder 30B A3B Instruct
1 个模型
Qwen3 30B A3B 2507 (Reasoning)
1 个模型
Qwen3 30B A3B 2507 Instruct
1 个模型
Qwen3 235B A22B 2507 (Reasoning)
1 个模型
Qwen3 Coder 480B A35B Instruct
1 个模型
Qwen3 235B A22B 2507 Instruct
1 个模型
Qwen3 0.6B
2 个模型
Qwen3 1.7B
2 个模型
Qwen3 14B
2 个模型
Qwen3 235B A22B
2 个模型
Qwen3 30B A3B
2 个模型
Qwen3 32B
2 个模型
Qwen3 4B
2 个模型
Qwen3 8B
2 个模型
QwQ 32B
1 个模型
Qwen2.5 Max
1 个模型
QwQ 32B-Preview
1 个模型
Qwen2.5 Turbo
1 个模型
Qwen2.5 Coder Instruct 32B
1 个模型
Qwen2.5 Instruct 72B
1 个模型
Qwen2.5 Coder Instruct 7B
1 个模型
Qwen2.5 Instruct 32B
1 个模型
Qwen2 Instruct 72B
1 个模型
Qwen1.5 Chat 110B
1 个模型
Qwen Chat 72B
1 个模型
Qwen Chat 14B
1 个模型
更多详情
权重 | 服务商基准测试 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.8 Max (0902) | 34 | - | 984k | $1.18 | 61.9 | 46 | 不可用 | |||
| Qwen3.8 27B (Xhigh) | 20 | 27B | 256k | $0.47 | 40.3 | 45 | +7 | |||
| Qwen3.8 27B (Medium) | 17 | 27B | 256k | $0.47 | 32.9 | 44 | ||||
| Qwen3.8 27B (Low) | 16 | 27B | 256k | $0.47 | 28.4 | 47 | ||||
| Qwen3.8 27B (Non-reasoning) | 10 | 27B | 256k | $0.47 | 18.5 | 40 | +4 | |||
| Qwen3.5 Omni Plus | - | - | 256k | $0.84 | - | 81 | 不可用 | |||
| Qwen3.5 122B A10B (Non-reasoning) | - | 125B 推理时启用 10B 个参数 | 262k | $0.68 | - | 108 | ||||
| Qwen2.5 Coder Instruct 32B | - | 32B | 131k | - | - | - | - | |||
| Qwen3 Coder 480B A35B Instruct | - | 480B 推理时启用 35B 个参数 | 262k | $0.41 | - | 75 | ||||
| Qwen3.5 2B (Non-reasoning) | - | 2.3B | 262k | - | - | - | - | |||
| Qwen3 Omni 30B A3B Instruct | - | 35.3B 推理时启用 3B 个参数 | 66k | $0.32 | - | 71 | ||||
| Qwen3 0.6B (Non-reasoning) | - | 0.8B | 32k | - | - | - | - | |||
| Qwen3.5 397B A17B (Reasoning) | - | 397B 推理时启用 17B 个参数 | 262k | $0.90 | - | 52 | +2 | |||
| Qwen3.5 27B (Reasoning) | - | 27.8B | 262k | $0.51 | - | 61 | +2 | |||
| Qwen3 4B (Reasoning) | - | 4B | 32k | - | - | - | - | |||
| Qwen2.5 Instruct 32B | - | 32B | 128k | - | - | - | - | |||
| Qwen3.5 9B (Non-reasoning) | - | 9.7B | 262k | $0.18 | - | 126 | ||||
| Qwen3.5 122B A10B (Reasoning) | - | 125B 推理时启用 10B 个参数 | 262k | $0.68 | - | 107 | ||||
| Qwen3 Next 80B A3B Instruct | - | 80B 推理时启用 3B 个参数 | 262k | $0.19 | - | 115 | ||||
| Qwen3 4B 2507 (Reasoning) | - | 4B | 262k | - | - | - | - | |||
| Qwen3 1.7B (Non-reasoning) | - | 2B | 32k | - | - | - | - | |||
| Qwen3.5 9B (Reasoning) | - | 9.7B | 262k | $0.14 | - | 86 | ||||
| Qwen3.5 4B (Non-reasoning) | - | 4.7B | 262k | $0.042 | - | 33 | ||||
| Qwen3.5 397B A17B (Non-reasoning) | - | 397B 推理时启用 17B 个参数 | 262k | $0.90 | - | 47 | ||||
| Qwen3 235B A22B 2507 Instruct | - | 235B 推理时启用 22B 个参数 | 256k | $0.29 | - | 35 | +2 | |||
| Qwen2.5 Turbo | - | - | 1M | - | - | - | 不可用 | - | ||
| Qwen3.6 27B (Non-reasoning) | - | 27.8B | 262k | $0.90 | - | 46 | ||||
| Qwen3 VL 8B Instruct | - | 8.8B | 256k | - | - | - | - | |||
| Qwen3 30B A3B (Reasoning) | - | 30.5B 推理时启用 3.3B 个参数 | 33k | $0.18 | - | 86 | ||||
| Qwen3.5 0.8B (Non-reasoning) | - | 0.9B | 262k | - | - | - | - | |||
| Qwen Chat 72B | - | 72B | 34k | - | - | - | - | |||
| Qwen3 235B A22B (Non-reasoning) | - | 235B 推理时启用 22B 个参数 | 33k | - | - | - | - | |||
| Qwen3 14B (Reasoning) | - | 14.8B | 33k | $0.13 | - | 51 | ||||
| Qwen3.5 35B A3B (Reasoning) | - | 36B 推理时启用 3B 个参数 | 262k | $0.42 | - | 126 | +2 | |||
| Qwen3 0.6B (Reasoning) | - | 0.8B | 32k | - | - | - | - | |||
| Qwen3.5 27B (Non-reasoning) | - | 27.8B | 262k | $0.51 | - | 55 | ||||
| Qwen3 VL 30B A3B Instruct | - | 30B 推理时启用 3B 个参数 | 256k | $0.37 | - | 38 | ||||
| Qwen3 1.7B (Reasoning) | - | 2B | 32k | - | - | - | - | |||
| Qwen3 Max (Preview) | - | - | 262k | - | - | - | 不可用 | - | ||
| Qwen3.5 2B (Reasoning) | - | 2.3B | 262k | - | - | - | - | |||
| Qwen3 30B A3B 2507 (Reasoning) | - | 30.5B 推理时启用 3.3B 个参数 | 262k | - | - | - | - | |||
| Qwen3.8 Max | - | - | 1M | $1.18 | - | 49 | 不可用 | |||
| Qwen3.6 Max Preview | - | - | 256k | - | - | - | 不可用 | - | ||
| Qwen3.5 4B (Reasoning) | - | 4.7B | 262k | $0.042 | - | 36 | ||||
| Qwen3.6 35B A3B (Non-reasoning) | - | 36B 推理时启用 3B 个参数 | 262k | $0.56 | - | 94 | +4 | |||
| Qwen3.7 Max | - | - | 1M | $1.60 | - | 161 | 不可用 | |||
| Qwen3 VL 32B Instruct | - | 33.4B | 256k | - | - | - | - | |||
| Qwen3.5 Omni Flash | - | - | 256k | $0.17 | - | 152 | 不可用 | |||
| Qwen2 Instruct 72B | - | 72B | 131k | - | - | - | - | |||
| Qwen3 Max | - | - | 262k | - | - | - | 不可用 | - | ||
| Qwen3 30B A3B 2507 Instruct | - | 30.5B 推理时启用 3.3B 个参数 | 262k | $0.12 | - | 67 | ||||
| Qwen3 Max Thinking | - | - | 256k | - | - | - | 不可用 | - | ||
| Qwen3.6 35B A3B (Reasoning) | - | 36B 推理时启用 3B 个参数 | 262k | $0.56 | - | 108 | +5 | |||
| QwQ 32B-Preview | - | 32.8B | 33k | - | - | - | - | |||
| Qwen3.6 27B (Reasoning) | - | 27.8B | 262k | $0.90 | - | 54 | ||||
| Qwen3.8 2.4T A95B | - | 2.4T 推理时启用 95B 个参数 | 262k | $1.18 | - | 40 | +2 | |||
| Qwen3.8-Flash-Next | - | 180B 推理时启用 6B 个参数 | 256k | $0.0882 | - | 89 | ||||
| Qwen3 8B (Reasoning) | - | 8.2B | 131k | - | - | - | - | |||
| Qwen3.5 0.8B (Reasoning) | - | 0.9B | 262k | - | - | - | - | |||
| Qwen3 VL 235B A22B (Reasoning) | - | 235B 推理时启用 22B 个参数 | 262k | - | - | - | - | |||
| Qwen3.7 Plus | - | - | 1M | $0.30 | - | 54 | 不可用 | |||
| Qwen3 32B (Reasoning) | - | 32.8B | 33k | $0.27 | - | 24 | ||||
| Qwen3 4B 2507 Instruct | - | 4B | 262k | - | - | - | - | |||
| Qwen3 8B (Non-reasoning) | - | 8.2B | 131k | $0.20 | - | - | ||||
| Qwen2.5 Instruct 72B | - | 72B | 131k | $0.48 | - | 22 | ||||
| Qwen3 Omni 30B A3B (Reasoning) | - | 35.3B 推理时启用 3B 个参数 | 66k | $0.32 | - | 85 | ||||
| Qwen2.5 Max | - | - | 32k | - | - | - | 不可用 | - | ||
| Qwen3 235B A22B (Reasoning) | - | 235B 推理时启用 22B 个参数 | 33k | - | - | - | - | |||
| Qwen3 32B (Non-reasoning) | - | 32.8B | 33k | $0.20 | - | 96 | ||||
| Qwen Chat 14B | - | 14B | 8k | - | - | - | - | |||
| Qwen3 Next 80B A3B (Reasoning) | - | 80B 推理时启用 3B 个参数 | 262k | - | - | - | - | |||
| Qwen3 Max Thinking (Preview) | - | - | 262k | - | - | - | 不可用 | - | ||
| Qwen3 VL 30B A3B (Reasoning) | - | 30B 推理时启用 3B 个参数 | 256k | $0.50 | - | - | ||||
| QwQ 32B | - | 32.8B | 131k | - | - | - | - | |||
| Qwen1.5 Chat 110B | - | 110B | 32k | - | - | - | - | |||
| Qwen3 VL 32B (Reasoning) | - | 33.4B | 256k | - | - | - | - | |||
| Qwen3 VL 235B A22B Instruct | - | 235B 推理时启用 22B 个参数 | 262k | $0.29 | - | 42 | ||||
| Qwen3 Coder 30B A3B Instruct | - | 30.5B 推理时启用 3.3B 个参数 | 262k | $0.25 | - | 175 | ||||
| Qwen3 VL 8B (Reasoning) | - | 8.8B | 256k | - | - | - | - | |||
| Qwen2.5 Coder Instruct 7B | - | 7.6B | 131k | - | - | - | - | |||
| Qwen3 4B (Non-reasoning) | - | 4B | 32k | - | - | - | - | |||
| Qwen3 14B (Non-reasoning) | - | 14.8B | 33k | $0.13 | - | 55 | ||||
| Qwen3.5 35B A3B (Non-reasoning) | - | 36B 推理时启用 3B 个参数 | 262k | $0.42 | - | 103 | ||||
| Qwen3 30B A3B (Non-reasoning) | - | 30.5B 推理时启用 3.3B 个参数 | 33k | $0.16 | - | 75 | ||||
| Qwen3.6 Plus | - | - | 1M | $0.43 | - | 52 | 不可用 | |||
| Qwen3 VL 4B Instruct | - | 4.4B | 256k | - | - | - | - | |||
| Qwen3 235B A22B 2507 (Reasoning) | - | 235B 推理时启用 22B 个参数 | 256k | $0.42 | - | 137 | ||||
| Qwen3 VL 4B (Reasoning) | - | 4.4B | 256k | - | - | - | - | |||
| Qwen3 Coder Next | - | 79.7B 推理时启用 3B 个参数 | 256k | $0.36 | - | 73 |