GLM 5.3
GLM-5.3 是智谱(Z.ai)推出的大规模推理模型,面向复杂软件工程与长周期 Agent 任务打造,支持文本输入输出,拥有 100 万 token 上下文窗口。相比 GLM-5.2,在编程能力与"性能-token 效率"的平衡上均有提升。模型始终开启推理且无法关闭,支持 low、high、max 三档推理强度,默认使用 max。
模态
上下文
1.05Mtokens
最大输出 944K tokens
排名与分数走势
排名
净改善度
能力
工具调用 (Tools)
结构化输出
并行工具调用
视觉输入
音频输入
多服务商价格对比数据来自 OpenRouter
| 服务商 | 量化精度 | 上下文 | 输入/M | 输出/M | 缓存读取/M | 近1天可用率 |
|---|---|---|---|---|---|---|
| fp8 | 1.05M | ¥0.37 | ¥33.53 | ¥0.40 | 96.2% | |
W Wafer (US) | — | 1.05M | ¥0.53 | ¥32.19 | ¥0.40 | 100.0% |
I InferenceNet | fp4 | 1.05M | ¥0.54 | ¥29.51 | ¥0.37 | 100.0% |
R Reka限时 -30% | — | 262K | ¥0.94 | ¥28.16 | ¥0.70 | 98.8% |
M Makora | fp4 | 1.05M | ¥0.94 | ¥29.51 | ¥0.67 | 99.2% |
W Wafer | — | 1.05M | ¥1.14 | ¥32.19 | ¥1.07 | 100.0% |
A AkashML | fp8 | 1.05M | ¥1.27 | ¥29.51 | ¥1.27 | 100.0% |
S Sail Research | fp8 | 1.05M | ¥1.34 | ¥22.80 | ¥1.01 | 99.9% |
S Sail Research | fp8 | 1.05M | ¥1.34 | ¥22.80 | ¥1.01 | 99.9% |
I Io Net | fp8 | 262K | ¥3.29 | ¥19.45 | ¥1.27 | 99.6% |
| fp4 | 1.05M | ¥3.77 | ¥16.76 | ¥0.84 | 98.7% | |
I Inceptron | fp4 | 1.05M | ¥4.02 | ¥14.75 | ¥1.34 | 99.9% |
T Tenstorrent | fp8 | 1.04M | ¥4.02 | ¥16.76 | ¥0.67 | 93.6% |
| fp8 | 1.05M | ¥4.69 | ¥14.75 | ¥0.87 | 100.0% | |
P Phala限时 -40% | — | 1.05M | ¥5.63 | ¥17.70 | ¥1.05 | 99.5% |
| — | 1.05M | ¥6.10 | ¥19.18 | ¥1.13 | 99.8% | |
G GMICloud限时 -30% | fp8 | 1.05M | ¥6.57 | ¥20.65 | ¥1.22 | 99.5% |
D Decart | fp4 | 1.05M | ¥6.84 | ¥21.59 | ¥1.54 | 100.0% |
S SiliconFlow限时 -20% | fp8 | 1.05M | ¥7.51 | ¥23.60 | ¥1.39 | 99.7% |
| — | 1.00M | ¥7.98 | ¥25.08 | ¥1.60 | 100.0% | |
| — | 1.05M | ¥8.45 | ¥26.56 | ¥1.57 | 100.0% | |
| nvfp4 | 1.05M | ¥9.39 | ¥29.51 | ¥0.94 | 99.2% | |
| fp8 | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 99.9% | |
| fp4 | 1.05M | ¥9.39 | ¥29.51 | ¥0.94 | 98.4% | |
| nvfp4 | 1.05M | ¥9.39 | ¥29.51 | ¥0.94 | 99.4% | |
| fp4 | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 100.0% | |
P PrimeIntellect | — | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 100.0% |
| — | 1.00M | ¥9.39 | ¥29.51 | ¥1.74 | 95.7% | |
| — | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 98.5% | |
| fp8 | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 99.9% | |
| — | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 99.1% | |
| fp4 | 1.05M | ¥9.39 | ¥29.51 | ¥0.94 | 97.9% | |
| — | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 99.5% | |
| — | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 100.0% | |
| fp8 | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 99.5% | |
| fp8 | 1.05M | ¥9.39 | ¥29.51 | ¥1.74 | 100.0% | |
| nvfp4 | 1.05M | ¥10.33 | ¥32.46 | ¥1.03 | 99.0% | |
M ModelRun | fp4 | 524K | ¥14.08 | ¥44.26 | ¥2.68 | 80.0% |
| — | 1.05M | ¥14.08 | ¥44.26 | ¥2.62 | 100.0% | |
| fp8 | 1.05M | ¥14.08 | ¥44.26 | ¥1.41 | 100.0% | |
| fp8 | 1.05M | ¥14.08 | ¥44.26 | ¥1.41 | 100.0% | |
| — | 1.00M | ¥18.78 | ¥59.01 | ¥3.76 | 100.0% |
¥0.37
输入/M
¥33.53
输出/M
¥0.40
缓存/M
96.2%
可用率
W
Wafer (US)¥0.53
输入/M
¥32.19
输出/M
¥0.40
缓存/M
100.0%
可用率
I
InferenceNetfp4¥0.54
输入/M
¥29.51
输出/M
¥0.37
缓存/M
100.0%
可用率
R
Reka限时 -30%¥0.94
输入/M
¥28.16
输出/M
¥0.70
缓存/M
98.8%
可用率
M
Makorafp4¥0.94
输入/M
¥29.51
输出/M
¥0.67
缓存/M
99.2%
可用率
W
Wafer¥1.14
输入/M
¥32.19
输出/M
¥1.07
缓存/M
100.0%
可用率
A
AkashMLfp8¥1.27
输入/M
¥29.51
输出/M
¥1.27
缓存/M
100.0%
可用率
S
Sail Researchfp8¥1.34
输入/M
¥22.80
输出/M
¥1.01
缓存/M
99.9%
可用率
S
Sail Researchfp8¥1.34
输入/M
¥22.80
输出/M
¥1.01
缓存/M
99.9%
可用率
I
Io Netfp8¥3.29
输入/M
¥19.45
输出/M
¥1.27
缓存/M
99.6%
可用率
¥3.77
输入/M
¥16.76
输出/M
¥0.84
缓存/M
98.7%
可用率
I
Inceptronfp4¥4.02
输入/M
¥14.75
输出/M
¥1.34
缓存/M
99.9%
可用率
T
Tenstorrentfp8¥4.02
输入/M
¥16.76
输出/M
¥0.67
缓存/M
93.6%
可用率
¥4.69
输入/M
¥14.75
输出/M
¥0.87
缓存/M
100.0%
可用率
P
Phala限时 -40%¥5.63
输入/M
¥17.70
输出/M
¥1.05
缓存/M
99.5%
可用率
¥6.10
输入/M
¥19.18
输出/M
¥1.13
缓存/M
99.8%
可用率
G
GMICloudfp8限时 -30%¥6.57
输入/M
¥20.65
输出/M
¥1.22
缓存/M
99.5%
可用率
D
Decartfp4¥6.84
输入/M
¥21.59
输出/M
¥1.54
缓存/M
100.0%
可用率
S
SiliconFlowfp8限时 -20%¥7.51
输入/M
¥23.60
输出/M
¥1.39
缓存/M
99.7%
可用率
¥7.98
输入/M
¥25.08
输出/M
¥1.60
缓存/M
100.0%
可用率
¥8.45
输入/M
¥26.56
输出/M
¥1.57
缓存/M
100.0%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥0.94
缓存/M
99.2%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
99.9%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥0.94
缓存/M
98.4%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥0.94
缓存/M
99.4%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
100.0%
可用率
P
PrimeIntellect¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
100.0%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
95.7%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
98.5%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
99.9%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
99.1%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥0.94
缓存/M
97.9%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
99.5%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
100.0%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
99.5%
可用率
¥9.39
输入/M
¥29.51
输出/M
¥1.74
缓存/M
100.0%
可用率
¥10.33
输入/M
¥32.46
输出/M
¥1.03
缓存/M
99.0%
可用率
M
ModelRunfp4¥14.08
输入/M
¥44.26
输出/M
¥2.68
缓存/M
80.0%
可用率
¥14.08
输入/M
¥44.26
输出/M
¥2.62
缓存/M
100.0%
可用率
¥14.08
输入/M
¥44.26
输出/M
¥1.41
缓存/M
100.0%
可用率
¥14.08
输入/M
¥44.26
输出/M
¥1.41
缓存/M
100.0%
可用率
¥18.78
输入/M
¥59.01
输出/M
¥3.76
缓存/M
100.0%
可用率
📊 Artificial Analysis 综合指数
44.8
智能指数
74.8
编程指数
53.1
Agent 指数