GLM 5.3 Flash
GLM-5.3-Flash 是智谱(Z.ai)推出的原生多模态模型,适用于高效编码与长周期 Agent 任务,其混合稀疏与线性注意力架构在保持长上下文准确性方面表现出色。
模态
上下文
1.05Mtokens
最大输出 944K tokens
排名与分数走势
排名
Elo 评分
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 |
|---|---|---|---|---|---|---|
O OpenInference | fp4 | 1.05M | ¥0.18 | ¥6.04 | ¥0.07 | 98.8% |
| fp8 | 1.05M | ¥0.19 | ¥6.71 | ¥0.10 | 94.1% | |
| — | 1.05M | ¥0.27 | ¥3.35 | ¥0.08 | 100.0% | |
| fp8 | 1.02M | ¥0.29 | ¥0.97 | ¥0.06 | 99.9% | |
S Sail Research | fp4 | 1.05M | ¥0.30 | ¥4.02 | ¥0.19 | 99.9% |
S Sail Research | fp4 | 1.05M | ¥0.30 | ¥4.02 | ¥0.19 | 100.0% |
R Reka | — | 262K | ¥0.40 | ¥10.73 | ¥0.27 | 100.0% |
I InferenceNet | fp4 | 1.05M | ¥0.47 | ¥0.34 | ¥0.20 | 100.0% |
| fp4 | 1.05M | ¥0.50 | ¥1.68 | ¥0.10 | - | |
W Wafer | — | 1.05M | ¥0.50 | ¥3.35 | ¥0.08 | 100.0% |
I Inceptron | fp8 | 1.05M | ¥0.53 | ¥3.69 | ¥0.66 | 99.3% |
| fp8 | 1.05M | ¥0.56 | ¥1.88 | ¥0.11 | 100.0% | |
G GMICloud限时 -40% | fp8 | 1.05M | ¥0.60 | ¥2.01 | ¥0.12 | 98.6% |
D Decart限时 -38% | fp4 | 1.05M | ¥0.62 | ¥2.08 | ¥0.12 | 100.0% |
N Near AI限时 -30% | fp8 | 1.05M | ¥0.70 | ¥2.35 | ¥0.16 | 100.0% |
P Phala限时 -25% | nvfp4 | 1.05M | ¥0.75 | ¥2.51 | ¥0.15 | 99.9% |
| — | 1.05M | ¥0.88 | ¥2.93 | ¥0.20 | 99.0% | |
| nvfp4 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp8 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp4 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
C CoreWeave | nvfp4 | 1.05M | ¥1.01 | ¥3.35 | ¥0.34 | 99.3% |
| fp8 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 94.2% | |
| — | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| — | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
S SiliconFlow | fp8 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 90.6% |
| — | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp4 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp8 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| — | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp8 | 1.05M | ¥1.01 | ¥3.35 | ¥0.20 | 100.0% | |
| fp4 | 1.05M | ¥1.26 | ¥4.19 | ¥0.25 | 99.9% | |
| — | 1.05M | ¥1.51 | ¥5.03 | ¥0.30 | 100.0% |
O
OpenInferencefp4¥0.18
输入/M
¥6.04
输出/M
¥0.07
缓存/M
98.8%
可用率
¥0.19
输入/M
¥6.71
输出/M
¥0.10
缓存/M
94.1%
可用率
¥0.27
输入/M
¥3.35
输出/M
¥0.08
缓存/M
100.0%
可用率
¥0.29
输入/M
¥0.97
输出/M
¥0.06
缓存/M
99.9%
可用率
S
Sail Researchfp4¥0.30
输入/M
¥4.02
输出/M
¥0.19
缓存/M
99.9%
可用率
S
Sail Researchfp4¥0.30
输入/M
¥4.02
输出/M
¥0.19
缓存/M
100.0%
可用率
R
Reka¥0.40
输入/M
¥10.73
输出/M
¥0.27
缓存/M
100.0%
可用率
I
InferenceNetfp4¥0.47
输入/M
¥0.34
输出/M
¥0.20
缓存/M
100.0%
可用率
¥0.50
输入/M
¥1.68
输出/M
¥0.10
缓存/M
-
可用率
W
Wafer¥0.50
输入/M
¥3.35
输出/M
¥0.08
缓存/M
100.0%
可用率
I
Inceptronfp8¥0.53
输入/M
¥3.69
输出/M
¥0.66
缓存/M
99.3%
可用率
¥0.56
输入/M
¥1.88
输出/M
¥0.11
缓存/M
100.0%
可用率
G
GMICloudfp8限时 -40%¥0.60
输入/M
¥2.01
输出/M
¥0.12
缓存/M
98.6%
可用率
D
Decartfp4限时 -38%¥0.62
输入/M
¥2.08
输出/M
¥0.12
缓存/M
100.0%
可用率
N
Near AIfp8限时 -30%¥0.70
输入/M
¥2.35
输出/M
¥0.16
缓存/M
100.0%
可用率
P
Phalanvfp4限时 -25%¥0.75
输入/M
¥2.51
输出/M
¥0.15
缓存/M
99.9%
可用率
¥0.88
输入/M
¥2.93
输出/M
¥0.20
缓存/M
99.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
C
CoreWeavenvfp4¥1.01
输入/M
¥3.35
输出/M
¥0.34
缓存/M
99.3%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
94.2%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
S
SiliconFlowfp8¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
90.6%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.35
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.26
输入/M
¥4.19
输出/M
¥0.25
缓存/M
99.9%
可用率
¥1.51
输入/M
¥5.03
输出/M
¥0.30
缓存/M
100.0%
可用率
📊 Artificial Analysis 综合指数
41.8
智能指数
71.5
编程指数
50.9
Agent 指数