1
A
claude-opus-4-6-thinking
claude-opus-4-6-thinkingAnthropic
100.0
1.1K
1M
¥36 / ¥180Input/Output
Chat · Text · Spanish Leaderboard
Ranking for Text / Spanish, based on public preference data.
Spanish model ranking guide
Ranking for Text / Spanish, based on public preference data.
claude-opus-4-6-thinkingclaude-opus-4-6gemini-3.1-pro-previewclaude-opus-4-7-thinkingernie-5.0-preview-1203
2
Aclaude-opus-4-6
claude-opus-4-6Anthropic
99.6
1.2K
1M
¥36 / ¥180Input/Output
3
G
gemini-3.1-pro-preview
gemini-3.1-pro-previewGoogle
99.2
1.5K
1.05M
¥14.4 / ¥86.4Input/Output
4
Aclaude-opus-4-7-thinking
claude-opus-4-7-thinkingAnthropic
98.8
681
1M
¥36 / ¥180Input/Output
5
B
ernie-5.0-preview-1203
ernie-5.0-preview-1203Baidu
98.4
217
128K
¥7.92 / ¥14.4Input/Output
6
MI
mimo-v2.5-pro
mimo-v2.5-proXiaomi
98.0
511
1.05M
¥7.2 / ¥21.6Input/Output
7
O
gpt-5.5-high
gpt-5.5-highOpenai
97.6
456
1.05M
¥36 / ¥216Input/Output
8
Ggemini-3.5-flash
gemini-3.5-flashGoogle
97.2
333
1.05M
¥10.8 / ¥64.8Input/Output
9
Ggemini-2.5-pro
gemini-2.5-proGoogle
96.8
2.9K
1.05M
¥9 / ¥72Input/Output
10
Ggemini-3-pro
gemini-3-proGoogle
96.4
1K
1.05M
¥14.4 / ¥86.4Input/Output
11
Bernie-5.1
ernie-5.1Baidu
96.0
475
119K
¥5.4 / ¥21.6Input/Output
12
M
muse-spark
muse-sparkMeta
95.5
431
-
-
13
M
kimi-k2.5-thinking
kimi-k2.5-thinkingMoonshot
95.1
1.2K
262K
¥4.32 / ¥21.6Input/Output
14
A
qwen3.5-max-preview
qwen3.5-max-previewAlibaba
94.7
673
-
-
15
B
dola-seed-2.0-pro
dola-seed-2.0-proBytedance
94.3
1.2K
-
-
16
MImimo-v2-pro
mimo-v2-proXiaomi
93.9
692
1.05M
¥7.2 / ¥21.6Input/Output
17
Aclaude-sonnet-4-6
claude-sonnet-4-6Anthropic
93.5
861
1M
¥21.6 / ¥108Input/Output
18
Aclaude-opus-4-7
claude-opus-4-7Anthropic
93.1
732
1M
¥36 / ¥180Input/Output
19
Z
glm-5.1
glm-5.1Zai
92.7
464
200K
¥0 / ¥0Input/Output
20
Aqwen3-max-preview
qwen3-max-previewAlibaba
92.3
752
262K
¥6.2 / ¥24.8Input/Output
21
Ggemini-3-flash
gemini-3-flashGoogle
91.9
834
1.05M
¥3.6 / ¥21.6Input/Output
22
Ogpt-5.4
gpt-5.4Openai
91.5
843
1.05M
¥18 / ¥108Input/Output
23
Ogpt-5.5
gpt-5.5Openai
91.1
526
1.05M
¥36 / ¥216Input/Output
24
Ogpt-5.4-high
gpt-5.4-highOpenai
90.7
929
1.05M
¥18 / ¥108Input/Output
25
Ggemma-4-31b
gemma-4-31bGoogle
90.3
224
262K
¥3.24 / ¥7.2Input/Output
26
Aclaude-sonnet-4-5-20250929
claude-sonnet-4-5-20250929Anthropic
89.9
2K
200K
¥21.6 / ¥108Input/Output
27
Aqwen3.5-397b-a17b
qwen3.5-397b-a17bAlibaba
89.5
1K
262K
¥3.1 / ¥18.6Input/Output
28
Mkimi-k2.6
kimi-k2.6Moonshot
89.1
569
262K
¥6.84 / ¥28.8Input/Output
29
Aclaude-opus-4-5-20251101-thinking-32k
claude-opus-4-5-20251101-thinking-32kAnthropic
88.7
984
200K
¥108 / ¥540Input/Output
30
Aclaude-opus-4-5-20251101
claude-opus-4-5-20251101Anthropic
88.3
1.8K
200K
¥36 / ¥180Input/Output
31
Zglm-4.5
glm-4.5Zai
87.9
623
131K
¥4.32 / ¥15.8Input/Output
32
Aqwen3.6-max-preview
qwen3.6-max-previewAlibaba
87.4
224
246K
¥9.5 / ¥56.9Input/Output
33
Aqwen3-next-80b-a3b-instruct
qwen3-next-80b-a3b-instructAlibaba
87.0
615
131K
¥1.04 / ¥4.13Input/Output
34
MA
mistral-large-3
mistral-large-3Mistral
86.6
1.1K
262K
¥3.6 / ¥10.8Input/Output
35
Bernie-5.0-0110
ernie-5.0-0110Baidu
86.2
1.1K
128K
¥7.92 / ¥14.4Input/Output
36
Mkimi-k2.5-instant
kimi-k2.5-instantMoonshot
85.8
261
262K
¥4.32 / ¥21.6Input/Output
37
Aclaude-opus-4-1-20250805-thinking-16k
claude-opus-4-1-20250805-thinking-16kAnthropic
85.4
1.1K
200K
¥108 / ¥540Input/Output
38
Aclaude-opus-4-1-20250805
claude-opus-4-1-20250805Anthropic
85.0
2K
200K
¥108 / ¥540Input/Output
39
M
longcat-flash-chat
longcat-flash-chatMeituan
84.6
364
128K
¥1.08 / ¥10.8Input/Output
40
X
grok-4.20-beta1
grok-4.20-beta1Xai
84.2
768
2M
¥14.4 / ¥43.2Input/Output
41
D
deepseek-v4-pro
deepseek-v4-proDeepseek
83.8
504
1M
¥3.13 / ¥6.26Input/Output
42
Xgrok-4.20-beta-0309-reasoning
grok-4.20-beta-0309-reasoningXai
83.4
902
2M
¥14.4 / ¥43.2Input/Output
43
Ddeepseek-v3.2-exp
deepseek-v3.2-expDeepseek
83.0
301
128K
¥0 / ¥0Input/Output
44
Aqwen3.6-plus
qwen3.6-plusAlibaba
82.6
637
1M
¥3.6 / ¥21.6Input/Output
45
Ddeepseek-v4-flash
deepseek-v4-flashDeepseek
82.2
482
1M
¥1.01 / ¥2.02Input/Output
46
Xgrok-4.1-thinking
grok-4.1-thinkingXai
81.8
1.6K
200K
¥14.4 / ¥72Input/Output
47
Aclaude-sonnet-4-5-20250929-thinking-32k
claude-sonnet-4-5-20250929-thinking-32kAnthropic
81.4
2.1K
200K
¥21.6 / ¥108Input/Output
48
Zglm-4.6
glm-4.6Zai
81.0
881
205K
¥4.32 / ¥15.8Input/Output
49
Ochatgpt-4o-latest-20250326
chatgpt-4o-latest-20250326Openai
80.6
1.7K
128K
¥18 / ¥72Input/Output
50
Ogpt-5.1-high
gpt-5.1-highOpenai
80.2
965
400K
¥9 / ¥72Input/Output
51
Zglm-5
glm-5Zai
79.8
781
205K
¥7.2 / ¥23Input/Output
52
Ogpt-5.2-chat-latest-20260210
gpt-5.2-chat-latest-20260210Openai
79.4
954
400K
¥12.6 / ¥101Input/Output
53
A
amazon-nova-experimental-chat-11-10
amazon-nova-experimental-chat-11-10Amazon
78.9
614
-
-
54
Xgrok-4.20-multi-agent-beta-0309
grok-4.20-multi-agent-beta-0309Xai
78.5
826
2M
¥14.4 / ¥43.2Input/Output
55
Ddeepseek-v4-pro-thinking
deepseek-v4-pro-thinkingDeepseek
78.1
480
1M
¥3.13 / ¥6.26Input/Output
56
Ggemini-3.1-flash-lite-preview
gemini-3.1-flash-lite-previewGoogle
77.7
1.1K
1.05M
¥1.8 / ¥10.8Input/Output
57
MAmistral-medium-2508
mistral-medium-2508Mistral
77.3
2.4K
262K
¥2.88 / ¥14.4Input/Output
58
Aqwen3.5-122b-a10b
qwen3.5-122b-a10bAlibaba
76.9
778
262K
¥2.88 / ¥23Input/Output
59
Aqwen3-235b-a22b-instruct-2507
qwen3-235b-a22b-instruct-2507Alibaba
76.5
2.5K
128K
¥2.09 / ¥8.23Input/Output
60
Ogpt-5.5-instant
gpt-5.5-instantOpenai
76.1
727
400K
¥9 / ¥72Input/Output
61
Ggemini-3-flash (thinking-minimal)
gemini-3-flash (thinking-minimal)Google
75.7
1.5K
1.05M
¥3.6 / ¥21.6Input/Output
62
Ogpt-5.1
gpt-5.1Openai
75.3
1.1K
400K
¥9 / ¥72Input/Output
63
Ddeepseek-v4-flash-thinking
deepseek-v4-flash-thinkingDeepseek
74.9
453
1M
¥1.01 / ¥2.02Input/Output
64
Xgrok-4.1
grok-4.1Xai
74.5
1.6K
200K
¥14.4 / ¥72Input/Output
65
Xgrok-4-fast-chat
grok-4-fast-chatXai
74.1
244
2M
¥1.44 / ¥3.6Input/Output
66
Ddeepseek-v3.2
deepseek-v3.2Deepseek
73.7
1.2K
128K
¥2.09 / ¥3.1Input/Output
67
Ggemini-2.5-flash
gemini-2.5-flashGoogle
73.3
2.9K
1.05M
¥2.16 / ¥18Input/Output
68
Aclaude-haiku-4-5-20251001
claude-haiku-4-5-20251001Anthropic
72.9
2K
200K
¥7.2 / ¥36Input/Output
69
MImimo-v2-flash (non-thinking)
mimo-v2-flash (non-thinking)Xiaomi
72.5
1.2K
262K
¥0.72 / ¥2.16Input/Output
70
ST
step-3.5-flash
step-3.5-flashStepfun
72.1
1.1K
256K
¥0.69 / ¥2.07Input/Output
71
Zglm-4.7
glm-4.7Zai
71.7
315
205K
¥0 / ¥0Input/Output
72
NV
nvidia-nemotron-3-super-120b-a12b
nvidia-nemotron-3-super-120b-a12bNvidia
71.3
314
262K
¥1.44 / ¥5.76Input/Output
73
M
minimax-m2.7
minimax-m2.7Minimax
70.9
737
205K
¥0 / ¥0Input/Output
74
Xgrok-3-preview-02-24
grok-3-preview-02-24Xai
70.4
345
1M
¥9 / ¥18Input/Output
75
Mlongcat-flash-chat-2602-exp
longcat-flash-chat-2602-expMeituan
70.0
686
128K
¥1.08 / ¥10.8Input/Output
76
MImimo-v2.5
mimo-v2.5Xiaomi
69.6
492
1.05M
¥2.88 / ¥14.4Input/Output
77
Xgrok-4-0709
grok-4-0709Xai
69.2
912
256K
¥21.6 / ¥108Input/Output
78
Xgrok-4-1-fast-reasoning
grok-4-1-fast-reasoningXai
68.8
1.4K
2M
¥1.44 / ¥3.6Input/Output
79
Aqwen3.5-flash
qwen3.5-flashAlibaba
68.4
960
1M
¥1.24 / ¥12.4Input/Output
80
Ogpt-5.2-high
gpt-5.2-highOpenai
68.0
1.2K
400K
¥12.6 / ¥101Input/Output
81
Ddeepseek-v3.1
deepseek-v3.1Deepseek
67.6
362
128K
¥1.44 / ¥5.04Input/Output
82
Ddeepseek-v3.2-thinking
deepseek-v3.2-thinkingDeepseek
67.2
1.1K
128K
¥2.09 / ¥3.1Input/Output
83
Xgrok-4-fast-reasoning
grok-4-fast-reasoningXai
66.8
521
2M
¥1.44 / ¥3.6Input/Output
84
Mkimi-k2-thinking-turbo
kimi-k2-thinking-turboMoonshot
66.4
1.6K
262K
¥17.3 / ¥72Input/Output
85
Aqwen3.5-27b
qwen3.5-27bAlibaba
66.0
776
262K
¥2.16 / ¥17.3Input/Output
86
Ogpt-5.4-mini-high
gpt-5.4-mini-highOpenai
65.6
736
400K
¥5.4 / ¥32.4Input/Output
87
Aqwen3-vl-235b-a22b-instruct
qwen3-vl-235b-a22b-instructAlibaba
65.2
406
128K
¥2.16 / ¥8.64Input/Output
88
Ddeepseek-v3.1-thinking
deepseek-v3.1-thinkingDeepseek
64.8
353
128K
¥1.44 / ¥5.04Input/Output
89
Ddeepseek-r1-0528
deepseek-r1-0528Deepseek
64.4
230
164K
¥3.6 / ¥15.5Input/Output
90
Aqwen3-235b-a22b-no-thinking
qwen3-235b-a22b-no-thinkingAlibaba
64.0
677
131K
¥2.07 / ¥8.26Input/Output
91
AG
ling-flash-2.0
ling-flash-2.0Ant Group
63.6
241
131K
¥1.01 / ¥4.1Input/Output
92
Mminimax-m2.1-preview
minimax-m2.1-previewMinimax
63.2
410
205K
¥0 / ¥0Input/Output
93
Ogpt-5.2
gpt-5.2Openai
62.8
1.3K
400K
¥12.6 / ¥101Input/Output
94
Xgrok-4.3
grok-4.3Xai
62.3
435
1M
¥9 / ¥18Input/Output
95
Ggemini-2.5-flash-lite-preview-09-2025-no-thinking
gemini-2.5-flash-lite-preview-09-2025-no-thinkingGoogle
61.9
1.3K
1.05M
¥0.72 / ¥2.88Input/Output
96
Ggemini-2.5-flash-preview-09-2025
gemini-2.5-flash-preview-09-2025Google
61.5
850
1M
¥2.16 / ¥18Input/Output
97
Aqwen3-max-2025-09-23
qwen3-max-2025-09-23Alibaba
61.1
388
258K
¥6.19 / ¥24.7Input/Output
98
TE
hunyuan-hy3-preview
hunyuan-hy3-previewTencent
60.7
170
256K
¥0 / ¥0Input/Output
99
Aqwen3.5-35b-a3b
qwen3.5-35b-a3bAlibaba
60.3
810
262K
¥1.8 / ¥14.4Input/Output
100
Aqwen3-30b-a3b-instruct-2507
qwen3-30b-a3b-instruct-2507Alibaba
59.9
633
262K
¥2.16 / ¥3.6Input/Output
101
Aqwen3-235b-a22b-thinking-2507
qwen3-235b-a22b-thinking-2507Alibaba
59.5
154
131K
¥2.07 / ¥8.26Input/Output
102
Ogpt-5-chat
gpt-5-chatOpenai
59.1
770
400K
¥9 / ¥72Input/Output
103
MImimo-v2-flash (thinking)
mimo-v2-flash (thinking)Xiaomi
58.7
321
262K
¥0.72 / ¥2.16Input/Output
104
Ddeepseek-v3.2-exp-thinking
deepseek-v3.2-exp-thinkingDeepseek
58.3
279
128K
¥0 / ¥0Input/Output
105
Aqwen3-vl-235b-a22b-thinking
qwen3-vl-235b-a22b-thinkingAlibaba
57.9
331
131K
¥2.06 / ¥8.26Input/Output
106
Ogpt-oss-120b
gpt-oss-120bOpenai
57.5
759
131K
¥1.08 / ¥4.32Input/Output
107
Xgrok-3-mini-beta
grok-3-mini-betaXai
57.1
399
1M
¥9 / ¥18Input/Output
108
Oo3-2025-04-16
o3-2025-04-16Openai
56.7
1.1K
200K
¥14.4 / ¥57.6Input/Output
109
AGring-flash-2.0
ring-flash-2.0Ant Group
56.3
273
131K
¥1.01 / ¥4.1Input/Output
110
Mkimi-k2-0905-preview
kimi-k2-0905-previewMoonshot
55.9
332
262K
¥4.32 / ¥18Input/Output
111
STstep-3
step-3Stepfun
55.5
194
65.5K
¥1.8 / ¥4.68Input/Output
112
Ogpt-5-high
gpt-5-highOpenai
55.1
817
400K
¥9 / ¥72Input/Output
113
Aclaude-opus-4-20250514-thinking-16k
claude-opus-4-20250514-thinking-16kAnthropic
54.7
766
200K
¥108 / ¥540Input/Output
114
Aqwen2.5-max
qwen2.5-maxAlibaba
54.3
249
32K
¥11.5 / ¥46Input/Output
115
Ddeepseek-r1
deepseek-r1Deepseek
53.8
114
164K
¥5.04 / ¥18Input/Output
116
Zglm-4.5-air
glm-4.5-airZai
53.4
724
131K
¥0 / ¥0Input/Output
117
NVnvidia-nemotron-3-nano-30b-a3b-bf16
nvidia-nemotron-3-nano-30b-a3b-bf16Nvidia
53.0
328
131K
¥0 / ¥0Input/Output
118
Ogpt-4.1-2025-04-14
gpt-4.1-2025-04-14Openai
52.6
986
1.05M
¥14.4 / ¥57.6Input/Output
119
Ogpt-5.3-chat-latest
gpt-5.3-chat-latestOpenai
52.2
1.1K
128K
¥12.6 / ¥101Input/Output
120
Aamazon-nova-experimental-chat-10-20
amazon-nova-experimental-chat-10-20Amazon
51.8
272
-
-
121
Ogpt-5-nano-high
gpt-5-nano-highOpenai
51.4
206
400K
¥0.36 / ¥2.88Input/Output
122
MAmistral-medium-2505
mistral-medium-2505Mistral
51.0
500
262K
¥2.88 / ¥14.4Input/Output
123
Aqwen3-235b-a22b
qwen3-235b-a22bAlibaba
50.6
421
131K
¥2.07 / ¥8.26Input/Output
124
Ggemini-2.5-flash-lite-preview-06-17-thinking
gemini-2.5-flash-lite-preview-06-17-thinkingGoogle
50.2
713
65.5K
¥0.72 / ¥2.88Input/Output
125
Ogpt-5.4-nano-high
gpt-5.4-nano-highOpenai
49.8
754
400K
¥1.44 / ¥9Input/Output
126
Ggemini-2.0-flash-001
gemini-2.0-flash-001Google
49.4
517
1.05M
¥1.08 / ¥4.32Input/Output
127
Anova-2-lite
nova-2-liteAmazon
49.0
201
128K
¥2.38 / ¥19.8Input/Output
128
Ogpt-5-mini-high
gpt-5-mini-highOpenai
48.6
741
400K
¥1.8 / ¥14.4Input/Output
129
Zglm-4.7-flash
glm-4.7-flashZai
48.2
337
200K
¥0 / ¥0Input/Output
130
Xgrok-3-mini-high
grok-3-mini-highXai
47.8
292
128K
¥0 / ¥0Input/Output
131
Mminimax-m2.5
minimax-m2.5Minimax
47.4
1.1K
205K
¥0 / ¥0Input/Output
132
Aqwen3-coder-480b-a35b-instruct
qwen3-coder-480b-a35b-instructAlibaba
47.0
602
262K
¥6.2 / ¥24.8Input/Output
133
Aclaude-sonnet-4-20250514-thinking-32k
claude-sonnet-4-20250514-thinking-32kAnthropic
46.6
737
200K
¥21.6 / ¥108Input/Output
134
Aclaude-sonnet-4-20250514
claude-sonnet-4-20250514Anthropic
46.2
782
200K
¥21.6 / ¥108Input/Output
135
Aclaude-opus-4-20250514
claude-opus-4-20250514Anthropic
45.7
872
200K
¥108 / ¥540Input/Output
136
Ddeepseek-v3
deepseek-v3Deepseek
45.3
127
128K
¥0 / ¥0Input/Output
137
UNtrinity-large-preview
-
44.9
839
262K
¥1.8 / ¥6.48Input/Output
138
Aqwen3-next-80b-a3b-thinking
qwen3-next-80b-a3b-thinkingAlibaba
44.5
398
131K
¥1.04 / ¥10.3Input/Output
139
MAmistral-small-2506
mistral-small-2506Mistral
44.1
365
262K
¥2.88 / ¥14.4Input/Output
140
Ddeepseek-v3-0324
deepseek-v3-0324Deepseek
43.7
893
75K
¥1.44 / ¥5.76Input/Output
141
Oo4-mini-2025-04-16
o4-mini-2025-04-16Openai
43.3
876
200K
¥7.92 / ¥31.7Input/Output
142
Aqwq-32b
qwq-32bAlibaba
42.9
348
131K
¥2.07 / ¥6.2Input/Output
143
Ggemma-3-27b-it
gemma-3-27b-itGoogle
42.5
775
128K
¥2.15 / ¥2.15Input/Output
144
Oo1-2024-12-17
o1-2024-12-17Openai
42.1
142
128K
¥108 / ¥432Input/Output
145
Mminimax-m1
minimax-m1Minimax
41.7
716
1M
¥0.95 / ¥9.03Input/Output
146
AI
olmo-3.1-32b-instruct
olmo-3.1-32b-instructAllenai
41.3
338
200K
¥14.4 / ¥57.6Input/Output
147
UNtrinity-large-thinking
-
40.9
724
262K
¥1.8 / ¥6.48Input/Output
148
CO
command-a-03-2025
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1K
256K
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149
Zglm-4.5v
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40.1
177
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150
Mkimi-k2-0711-preview
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532
131K
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151
Mminimax-m2
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39.3
173
197K
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Aqwen3-30b-a3b
qwen3-30b-a3bAlibaba
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410
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153
Oo3-mini-high
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126
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154
UNyi-lightning
-
38.1
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Ggemini-2.0-flash-lite-preview-02-05
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157
1.05M
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156
Zglm-4-plus
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332
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Ggemini-1.5-pro-002
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158
Ogpt-4.1-mini-2025-04-14
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721
1.05M
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Aclaude-3-7-sonnet-20250219-thinking-32k
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160
Oo1-mini
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425
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Oo3-mini
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837
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Ggemma-3n-e4b-it
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34.4
408
128K
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164
Ogpt-4o-2024-05-13
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34.0
1.7K
128K
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165
AIolmo-3.1-32b-think
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33.6
177
200K
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Aqwen-max-0919
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222
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167
Aclaude-3-7-sonnet-20250219
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32.8
560
200K
¥21.6 / ¥108Input/Output
168
Aclaude-3-5-sonnet-20240620
claude-3-5-sonnet-20240620Anthropic
32.4
1.1K
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¥21.6 / ¥108Input/Output
169
Mllama-4-maverick-17b-128e-instruct
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746
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¥1.8 / ¥6.26Input/Output
170
Aclaude-3-5-sonnet-20241022
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31.6
918
200K
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171
MAmistral-small-3.1-24b-instruct-2503
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31.2
703
262K
¥2.88 / ¥14.4Input/Output
172
Xgrok-2-2024-08-13
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671
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173
Ogpt-4o-mini-2024-07-18
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30.4
740
128K
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174
Xgrok-2-mini-2024-08-13
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30.0
575
1M
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175
MAmagistral-medium-2506
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29.6
232
128K
¥14.4 / ¥36Input/Output
176
UNathene-v2-chat
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Ogpt-4o-2024-08-06
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28.7
546
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Ogpt-oss-20b
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28.3
253
131K
¥0.32 / ¥1.3Input/Output
179
Mllama-4-scout-17b-16e-instruct
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27.9
638
128K
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180
Mllama-3.3-70b-instruct
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27.5
590
128K
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181
MAmistral-large-2411
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27.1
153
128K
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182
Ogpt-4-1106-preview
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26.7
1.5K
8.19K
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183
Ogpt-4-turbo-2024-04-09
gpt-4-turbo-2024-04-09Openai
26.3
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128K
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184
IB
ibm-granite-h-small
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UNathene-70b-0725
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25.5
271
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186
Mllama-3.1-405b-instruct-bf16
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25.1
348
128K
¥0 / ¥0Input/Output
187
Aqwen2.5-72b-instruct
qwen2.5-72b-instructAlibaba
24.7
347
131K
¥4.13 / ¥12.4Input/Output
188
Mllama-3.1-405b-instruct-fp8
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24.3
652
128K
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Mllama-3.1-70b-instruct
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23.9
606
131K
¥2.88 / ¥2.88Input/Output
190
Aclaude-3-5-haiku-20241022
claude-3-5-haiku-20241022Anthropic
23.5
883
200K
¥5.76 / ¥28.8Input/Output
191
Ddeepseek-v2.5
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23.1
293
1M
¥1.01 / ¥2.02Input/Output
192
Ogpt-4-0125-preview
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22.7
1.2K
8.19K
¥216 / ¥432Input/Output
193
Aclaude-3-opus-20240229
claude-3-opus-20240229Anthropic
22.3
2.6K
200K
¥108 / ¥540Input/Output
194
Ggemini-1.5-pro-001
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21.9
1.3K
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Ggemini-advanced-0514
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21.5
898
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196
Ggemini-1.5-flash-002
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21.1
283
2M
¥0.54 / ¥2.2Input/Output
197
Mllama-3-70b-instruct
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20.6
2.7K
8.19K
¥3.67 / ¥5.33Input/Output
198
MAmistral-large-2407
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20.2
584
131K
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199
M
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phi-4Microsoft
19.8
127
128K
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200
Ggemma-2-27b-it
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19.4
845
8.19K
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Ggemini-1.5-flash-001
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19.0
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Aamazon-nova-lite-v1.0
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18.6
107
300K
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203
Aamazon-nova-micro-v1.0
amazon-nova-micro-v1.0Amazon
18.2
144
128K
¥0.25 / ¥1.01Input/Output
204
Ggemini-1.5-flash-8b-001
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17.8
323
2M
¥0.54 / ¥2.2Input/Output
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Aclaude-3-sonnet-20240229
claude-3-sonnet-20240229Anthropic
17.4
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Ggemma-2-9b-it
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17.0
614
8.19K
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207
Ogpt-4-0314
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16.6
647
8.19K
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NVnemotron-4-340b-instruct
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16.2
367
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MAmistral-large-2402
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15.8
886
262K
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210
COc4ai-aya-expanse-32b
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15.4
256
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COcommand-r-plus
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15.0
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128K
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Aamazon-nova-pro-v1.0
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14.6
150
300K
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Mllama-3-8b-instruct
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14.2
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8.19K
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Mllama-3.1-8b-instruct
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13.8
565
131K
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Aqwen2-72b-instruct
qwen2-72b-instructAlibaba
13.4
596
131K
¥4.13 / ¥12.4Input/Output
216
Ogpt-4-0613
gpt-4-0613Openai
13.0
1.4K
8.19K
¥216 / ¥432Input/Output
217
Aclaude-3-haiku-20240307
claude-3-haiku-20240307Anthropic
12.6
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200K
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Ddeepseek-coder-v2
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12.1
245
1M
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219
COcommand-r
command-rCohere
11.7
698
128K
¥18 / ¥72Input/Output
220
MAmixtral-8x22b-instruct-v0.1
mixtral-8x22b-instruct-v0.1Mistral
11.3
826
64K
¥14.4 / ¥43.2Input/Output
221
UNreka-flash-21b-20240226-online
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10.9
217
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MAmistral-medium
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10.5
439
262K
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223
Mllama-2-70b-chat
llama-2-70b-chatMeta
10.1
506
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Aqwen1.5-110b-chat
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9.7
487
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225
Ggemma-2-2b-it
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9.3
544
128K
¥0 / ¥0Input/Output
226
UNreka-flash-21b-20240226
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409
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458
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228
Ogpt-3.5-turbo-0125
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8.1
895
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¥3.6 / ¥10.8Input/Output
229
Ggemini-pro-dev-api
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7.7
213
1.05M
¥14.4 / ¥86.4Input/Output
230
Mphi-3-small-8k-instruct
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7.3
272
8.19K
¥1.08 / ¥4.32Input/Output
231
MAmixtral-8x7b-instruct-v0.1
mixtral-8x7b-instruct-v0.1Mistral
6.9
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32K
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232
Aqwen1.5-72b-chat
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6.5
501
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6.1
419
4.1K
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234
Ogpt-3.5-turbo-1106
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5.7
260
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235
Aqwen1.5-32b-chat
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5.3
369
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UNsnowflake-arctic-instruct
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4.9
500
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237
Mllama-2-13b-chat
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4.5
262
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238
Aqwen1.5-14b-chat
qwen1.5-14b-chatAlibaba
4.0
293
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239
Mphi-3-mini-4k-instruct
phi-3-mini-4k-instructMicrosoft
3.6
410
4.1K
¥0.94 / ¥3.74Input/Output
240
UNvicuna-33b
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3.2
275
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UNvicuna-13b
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2.8
161
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UNzephyr-7b-beta
-
2.4
127
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UNyi-34b-chat
-
2.0
218
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244
UNdbrx-instruct-preview
-
1.6
404
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245
Mphi-3-mini-128k-instruct
phi-3-mini-128k-instructMicrosoft
1.2
366
128K
¥0.94 / ¥3.74Input/Output
246
Ggemma-1.1-7b-it
gemma-1.1-7b-itGoogle
0.8
411
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MAmistral-7b-instruct-v0.2
mistral-7b-instruct-v0.2Mistral
0.4
202
262K
¥2.88 / ¥14.4Input/Output
248
Mllama-2-7b-chat
llama-2-7b-chatMeta
0.0
143
128K
¥4.03 / ¥48Input/Output
claude-opus-4-6-thinking why it ranks first
claude-opus-4-6-thinking ranks first with a percent score of 100.0 and 1.1K samples. Use it as the first option for this leaderboard, then compare price, context and availability.
Do not only look at rank #1
Start with the leaderboard closest to your task. Compare the top models by score and sample size, then check price, context length, open or closed access, and provider availability.
Compare adjacent capabilities
FAQ
西班牙语排行榜看什么指标？
主要看排名、百分制分数、样本量和来源。分数用于快速比较同一榜单内模型表现，样本量用于判断结果稳定性。
为什么不同榜单不能直接混合成总分？
不同榜单的任务、样本和评测口径不同，模力榜默认只在同一榜单内排序，避免把写作、代码、图像等能力强行合并。
西班牙语模型应该怎么选？
优先看与你任务最接近的榜单，再结合价格、上下文长度、开源闭源和厂商可用性。排名靠前不代表适合所有预算和部署方式。
榜单多久更新？
页面展示的是最新成功采集的公开榜单数据。当前优先使用 LMArena leaderboard dataset，并在页面来源中保留原始链接。