순위표

오픈 웨이트 랭킹

Podium Score 기준 오픈 웨이트 모델.

183개 모델
#모델명Podium Score아레나 Elo지능 지수코딩속도가격 (출력)
01
Kimi K3.1 Pro
Moonshot AI오픈소스추론
94.2
149068.072.045 t/s$20/M
02
Kimi K3.1 Highspeed
Moonshot AI오픈소스추론
91.5
145560.060.0130 t/s$8/M
03
FLUX.2 Dev
Black Forest Labs오픈소스
90.4
144090.00.028 t/s$0.03/M
4
Qwen Audio 3.1 TTS+
Alibaba오픈소스
89.4
143089.00.0140 t/s$0.02/M
5
GLM-4.5 Air
Zhipu AI오픈소스추론
88.9
142058.055.096 t/s$1.1/M
6
MiMo v2.6 Flash
Xiaomi오픈소스
88.4
142588.086.0118 t/s$0.3/M
7
FLUX.2 Klein 9B
Black Forest Labs오픈소스
88.2
140588.00.055 t/s$0.02/M
8
87.8
141888.083.0110 t/s$1.2/M
9
Wan 2.2 A14B
Alibaba오픈소스
87.4
141587.00.015 t/s$0.06/M
10
FLUX.2 Klein 4B
Black Forest Labs오픈소스
86.5
138087.00.090 t/s$0.01/M
11
Kimi K3
Moonshot AI오픈소스추론
83.3
148557.061.537 t/s$15/M
12
Qwen3.8 Flash Next
Alibaba오픈소스
66.8
146061.560.5168 t/s$0.4/M
13
G9v3-39A5B
AI9Stars오픈소스
65.0
—30.0—60 t/s$2/M
14
G9v3-3B
AI9Stars오픈소스
65.0
—30.0—60 t/s$2/M
15
HyperNova 60B
Multiverse오픈소스
65.0
—30.0—367 t/s$0.14/M
16
LFM2.5-2.6B
Liquid AI오픈소스
65.0
—30.0—60 t/s$2/M
17
LFM2.5-8B-A1B
Liquid AI오픈소스
65.0
—30.0—338 t/s$2/M
18
LFM2.5-VL-1.6B
Liquid AI오픈소스
65.0
—30.0—395 t/s$2/M
19
LongCat 2.0
LongCat오픈소스
65.0
—30.0—42 t/s$2.95/M
20
Magistral Small 1.2
Mistral오픈소스
65.0
—30.0—60 t/s$1.5/M
21
Qwen3.8 27B (xhigh)
Alibaba오픈소스
65.0
—30.0—53 t/s$3/M
22
Qwen3.8 27B (low)
Alibaba오픈소스
65.0
—30.0—64 t/s$3/M
23
Qwen3.8 27B (medium)
Alibaba오픈소스
65.0
—30.0—62 t/s$3/M
24
Qwen3.8 27B (Non-reasoning)
Alibaba오픈소스추론
65.0
—30.0—62 t/s$3/M
25
GLM-5.3 Flash
Z.ai오픈소스
64.2
144558.058.4182 t/s$0.3/M
26
GLM-5.2
Z.ai오픈소스
59.1
146951.041.9164 t/s$4.29/M
27
58.6
138051.056.078 t/s$1.2/M
28
Qwen3 8 2 4t A95b
Alibaba오픈소스
57.7
——40.085 t/s$2/M
29
DeepSeek V4.1 Flash
DeepSeek오픈소스추론
54.5
145040.052.0214 t/s$1.2/M
30
Glm 5
Z.ai오픈소스
52.6
——40.060 t/s$3/M
31
MiMo V2.6 Pro
Xiaomi오픈소스
52.5
——45.072 t/s$0.95/M
32
Sarvam 105B
Sarvam AI오픈소스
50.0
———60 t/s$3/M
33
Sarvam 30B
Sarvam AI오픈소스
50.0
———60 t/s$3/M
34
50.0
——45.0240 t/s$1.2/M
35
49.2
131543.044.0115 t/s$0.45/M
36
Kimi K2.6
Moonshot AI오픈소스
49.0
1461—36.440 t/s$4/M
37
Sarvam M Reasoning
Sarvam AI오픈소스추론
49.0
———40 t/s$3/M
38
MiMo V2.5 Pro
Xiaomi오픈소스
48.0
146642.042.665 t/s$0.87/M
39
DeepSeek V4 Pro
DeepSeek오픈소스
46.0
145844.030.766 t/s$0.87/M
40
GLM-5.1
Z.ai오픈소스
46.0
——57.074 t/s$4.4/M
41
46.0
——38.0210 t/s$1.1/M
42
Deepseek V4 Pro 0424
DeepSeek오픈소스
45.3
——40.060 t/s$1.1/M
43
Deepseek V4 Pro 0424 High
DeepSeek오픈소스
43.7
——40.060 t/s$1.1/M
44
Deepseek V4 Flash 0420
DeepSeek오픈소스
42.1
——25.060 t/s$1.1/M
45
DeepSeek V4 Flash
DeepSeek오픈소스
42.0
143850.038.0113 t/s$0.28/M
46
42.0
126036.035.0148 t/s$0.2/M
47
Kimi K2.7 Code
Moonshot AI오픈소스
41.8
—42.039.939 t/s$4/M
48
Qwen3 6 Max
Alibaba오픈소스
41.1
——40.085 t/s$2/M
49
Deepseek V4 Flash 0420 High
DeepSeek오픈소스
39.0
——25.060 t/s$1.1/M
50
Deepseek V3 2 Reasoning
DeepSeek오픈소스추론
38.0
——40.040 t/s$1.1/M
51
Mimo V2 5 0424
Xiaomi오픈소스
38.0
——40.060 t/s$3/M
52
Qwen3 6 27b
Alibaba오픈소스
37.7
——40.085 t/s$2/M
53
Glm 5 1 Non Reasoning
Z.ai오픈소스추론
36.3
——40.040 t/s$3/M
54
Gemma 4 31B
Google오픈소스
35.0
145129.0—35 t/s$0.3/M
55
Glm 5 2 Non Reasoning
Z.ai오픈소스추론
34.8
——40.040 t/s$3/M
56
Glm 5 Non Reasoning
Z.ai오픈소스추론
33.2
——40.040 t/s$3/M
57
Qwen3 5 397b A17b Non Reasoning
Alibaba오픈소스추론
32.7
——40.055 t/s$2/M
58
Minimax M2 1
MiniMax오픈소스
32.1
——25.060 t/s$2/M
59
Qwen3 6 35b A3b
Alibaba오픈소스
32.1
——40.085 t/s$2/M
60
Deepseek V4 Pro 0424 Non Reasoning
DeepSeek오픈소스추론
31.9
——40.040 t/s$1.1/M
61
Mimo V2 Flash Reasoning
Xiaomi오픈소스추론
31.9
——25.040 t/s$3/M
62
Qwen3 5 Omni Plus
Alibaba오픈소스
31.3
——40.085 t/s$2/M
63
Qwen3 6 27b Non Reasoning
Alibaba오픈소스추론
31.3
——40.055 t/s$2/M
64
Deepseek V3 1 Terminus Reasoning
DeepSeek오픈소스추론
31.1
——40.040 t/s$1.1/M
65
GPT-oss-120B
OpenAI오픈소스
30.0
——37.0240 t/s$0.4/M
66
Qwen3 5 27b Non Reasoning
Alibaba오픈소스추론
30.0
——40.055 t/s$2/M
67
Deepseek V4 Flash Non Reasoning
DeepSeek오픈소스추론
29.3
——25.040 t/s$1.1/M
68
Glm 4 6 Reasoning
Z.ai오픈소스추론
29.3
——40.040 t/s$3/M
69
Minimax M2
MiniMax오픈소스
28.9
——25.060 t/s$2/M
70
Mimo V2 5 Pro Non Reasoning
Xiaomi오픈소스추론
28.4
——40.040 t/s$3/M
71
Qwen3 5 122b A10b Non Reasoning
Alibaba오픈소스추론
28.2
——40.055 t/s$2/M
72
Glm 4 7 Non Reasoning
Z.ai오픈소스추론
27.1
——40.040 t/s$3/M
73
Gemma 4 26b A4b
Google오픈소스
26.1
——40.0120 t/s$5/M
74
Deepseek V3 2 Reasoning 0925
DeepSeek오픈소스추론
25.9
——40.040 t/s$1.1/M
75
Qwen3 Max Thinking Preview
Alibaba오픈소스추론
25.5
——40.055 t/s$2/M
76
Qwen3 6 35b A3b Non Reasoning
Alibaba오픈소스추론
24.6
——40.055 t/s$2/M
77
Qwen3 5 35b A3b Non Reasoning
Alibaba오픈소스추론
24.3
——40.055 t/s$2/M
78
Qwen3.5 397B-A17B
Alibaba오픈소스
23.9
144234.011.571 t/s$2/M
79
Gemma 4 31b Non Reasoning
Google오픈소스추론
22.3
——40.080 t/s$5/M
80
Gemma 4 12b
Google오픈소스
22.2
——40.0120 t/s$5/M
81
Qwen3.5 122B-A10B
Alibaba오픈소스
22.0
141732.0—126 t/s$2/M
82
GPT-oss-20B
OpenAI오픈소스
22.0
——27.090 t/s$0.2/M
83
Qwen3 5 9b
Alibaba오픈소스
21.8
——40.085 t/s$2/M
84
Deepseek V3 2 0925
DeepSeek오픈소스
21.7
——40.060 t/s$1.1/M
85
Qwen3 Coder Next
Alibaba오픈소스
21.3
——40.085 t/s$2/M
86
Deepseek V3 1 Reasoning
DeepSeek오픈소스추론
21.0
——40.040 t/s$1.1/M
87
Qwen3 Vl 235b A22b Reasoning
Alibaba오픈소스추론
20.9
——40.055 t/s$2/M
88
Qwen3 5 9b Non Reasoning
Alibaba오픈소스추론
20.6
——40.055 t/s$2/M
89
Gemma 4 26b A4b Non Reasoning
Google오픈소스추론
20.4
——40.080 t/s$5/M
90
Qwen3 5 4b
Alibaba오픈소스
20.4
——40.085 t/s$2/M
91
19.9
——40.055 t/s$2/M
92
Mistral Small 4
Mistral오픈소스
19.7
——40.0100 t/s$6/M
93
Qwen3 Max
Alibaba오픈소스
19.6
1435——85 t/s$2/M
94
Qwen3 Max Preview
Alibaba오픈소스
19.4
——40.085 t/s$2/M
95
Qwen3 5 Omni Flash
Alibaba오픈소스
19.2
——25.085 t/s$2/M
96
Nemotron 3 Ultra 550B
NVIDIA오픈소스
19.0
142638.019.1142 t/s$2.75/M
97
Deepseek R1 0120
DeepSeek오픈소스추론
18.6
——40.040 t/s$1.1/M
98
18.4
——40.085 t/s$2/M
99
18.2
——40.085 t/s$2/M
100
Qwen3 Vl 32b Reasoning
Alibaba오픈소스추론
18.1
——40.055 t/s$2/M
Podium Score는 5개 리더보드의 가중 평균입니다. 자세한 내용은 평가 방법을 참고하세요.
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