数清 token。 看到真实价格。

粘贴任意提示词、文档或转录内容。Whizi 会数出 token 数量,并在 100 个模型上并排算出价格。

token 计数的原理

每家提供商都有自己的分词器,所以一个数字不可能同时对所有模型都精确。这个计数器对常见英文文本贴合度很高,在代码、长数字串和非拉丁文字上偏差最大。请用它来估算和比较提示词,而不是用来核对发票。

全部模型价格

100 个模型,按每百万 token 的美元价格计,取自 2026年8月20日 的 OpenRouter 目录。为标价,未计入任何缓存折扣或用量协议。

#模型提供商$ / 百万输入$ / 百万输出上下文
1Claude Sonnet 5Anthropic$2.00$10.001M
2Gemini 3.5 FlashGoogle$1.50$9.001M
3GPT-5.5OpenAI$5.00$30.001M
4Claude Opus 5Anthropic$5.00$25.001M
5Grok 4.5xAI$2.00$6.00500K
6DeepSeek V3.2DeepSeek$0.27$0.40164K
7GPT-5.4 MiniOpenAI$0.75$4.50400K
8Gemini 3.1 Pro PreviewGoogle$2.00$12.001M
9Qwen3 Coder NextQwen$0.12$0.80262K
10Kimi K2 ThinkingMoonshot$0.60$2.50262K
11GLM 4.6Z.ai$0.50$2.00205K
12Claude Haiku 4.5Anthropic$1.00$5.00200K
13GPT-5.4OpenAI$2.50$15.001M
14Gemini 2.5 FlashGoogle$0.30$2.501M
15MiniMax M2MiniMax$0.26$1.02205K
16Claude Sonnet 4.6Anthropic$3.00$15.001M
17DeepSeek V3.1DeepSeek$0.25$0.95164K
18Llama 4 MaverickMeta$0.20$0.801M
19GPT-5.4 NanoOpenAI$0.20$1.25400K
20Gemini 2.5 Flash LiteGoogle$0.10$0.401M
21Mistral Medium 3.1Mistral$0.40$2.00131K
22Qwen3.8 MaxQwen$2.00$6.001M
23GLM 5Z.ai$0.60$1.92205K
24Claude Sonnet 4.5Anthropic$3.00$15.001M
25Kimi K2 0711Moonshot$0.57$2.30131K
26Grok 4.3xAI$1.25$2.501M
27R1DeepSeek$0.70$2.5064K
28Gemini 3.6 FlashGoogle$0.75$3.751M
29Codestral 2508Mistral$0.30$0.90256K
30Llama 3.3 70B InstructMeta$0.10$0.32131K
31GPT Chat LatestOpenAI$5.00$30.00400K
32Mistral Large 3 2512Mistral$0.50$1.50262K
33MiniMax M3MiniMax$0.30$1.201M
34Qwen3.6 FlashQwen$0.19$1.131M
35GLM 4.7Z.ai$0.40$1.75205K
36Kimi K3Moonshot$3.00$15.001M
37Claude Opus 4.8Anthropic$5.00$25.001M
38Command ACohere$2.50$10.00256K
39Nova Pro 1.0Amazon$0.80$3.20300K
40Phi 4Microsoft$0.07$0.1416K
41Hy-MT2-1.8BTencent$0.04$0.188K
42Hy-MT2-30B-A3BTencent$0.07$0.298K
43GLM 5.3Z.ai$1.40$4.401M
44Qwen3.8 27BQwen$0.45$3.201M
45Gemini 3.7 FlashGoogle$0.38$1.881M
46Seed 2.1 TurboBytedance Seed$0.50$2.50262K
47Qwen3.8 2.4T A95BQwen$2.00$6.001M
48Seed-2.0-CodeBytedance Seed$0.50$3.00262K
49DeepSeek V4 Pro 0813DeepSeek$1.19$3.561M
50Grok 4.6xAI$2.00$6.00500K
51Nemotron 3.5 LightningNVIDIA$0.08$0.20262K
52Sakana NamazuSakana$0.95$4.00262K
53Solar Pro 4Upstage$0.03$0.12524K
54Muse Glimmer 30BMeta$0.35$1.50131K
55Muse Spark 1.2Meta$1.25$4.251M
56DeepSeek V4 Flash 0731DeepSeek$0.14$0.281M
57Inkling SmallThinkingmachines$0.45$1.20524K
58Qwen3.7 FlashQwen$0.03$0.131M
59Claude Opus 5 (Fast)Anthropic$10.00$50.001M
60Ling-3.0-flashinclusionAI$0.02$0.06262K
61Laguna S 2.1Poolside$0.09$0.181M
62Gemini 3.5 Flash LiteGoogle$0.30$2.501M
63LongCat 2.0Meituan$0.30$1.201M
64InklingThinkingmachines$0.95$4.051M
65Muse Spark 1.1Meta$1.25$4.251M
66KAT-Coder-Air V2.5Kwaipilot$0.15$0.60256K
67KAT-Coder-Pro V2.5Kwaipilot$0.74$2.96256K
68GPT-5.6 Luna ProOpenAI$0.20$1.201M
69GPT-5.6 LunaOpenAI$0.20$1.201M
70GPT-5.6 Terra ProOpenAI$2.00$12.001M
71GPT-5.6 TerraOpenAI$2.00$12.001M
72GPT-5.6 Sol ProOpenAI$2.50$15.001M
73GPT-5.6 SolOpenAI$2.50$15.001M
74Aion-3.0-MiniAion Labs$0.70$1.40131K
75Aion-3.0Aion Labs$3.00$6.00131K
76Hy3Tencent$0.13$0.53262K
77Laguna XS 2.1Poolside$0.06$0.12262K
78Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Google$0.25$1.5066K
79Nex-N2-MiniNex Agi$0.03$0.10262K
80Fugu UltraSakana$5.00$30.001M
81Nano Banana 2 (Gemini 3.1 Flash Image)Google$0.50$3.00131K
82Nano Banana Pro (Gemini 3 Pro Image)Google$2.00$12.00131K
83GLM 5.2Z.ai$0.97$3.041M
84Kimi K2.7 CodeMoonshot$0.71$3.50262K
85Claude Fable 5Anthropic$10.00$50.001M
86Nex-N2-ProNex Agi$0.25$1.00262K
87Nemotron 3 UltraNVIDIA$0.60$3.60512K
88Qwen3.7 PlusQwen$0.32$1.281M
89Step 3.7 FlashStepfun$0.20$1.15262K
90Claude Opus 4.8 (Fast)Anthropic$10.00$50.001M
91Qwen3.7 MaxQwen$1.48$4.421M
92Grok Build 0.1xAI$1.00$2.00256K
93Claude Opus 4.7 (Fast)Anthropic$30.00$150.001M
94Perceptron Mk1Perceptron$0.15$1.5033K
95Ring-2.6-1TinclusionAI$0.07$0.63262K
96Gemini 3.1 Flash LiteGoogle$0.25$1.501M
97Granite 4.1 8BIbm Granite$0.05$0.10131K
98Mistral Medium 3.5Mistral$1.50$7.50262K
99Qwen3.5 Plus 2026-04-20Qwen$0.30$1.801M
100Qwen3.6 35B A3BQwen$0.14$1.00262K

常见问题

token 计数有多准确?

这是一个接近的估算。每家提供商使用自己的分词器,所以单一数字无法与所有模型都完全吻合。它对英文文本贴合度高,在代码和非拉丁文字上偏差最大。

价格数据来自哪里?

来自公开的 OpenRouter 模型目录,按每百万 token 的美元价格计。这些是标价,不含提示词缓存折扣、批量定价或协商的用量费率。

为什么输出比输入贵?

生成 token 所需的算力远高于读取,因此多数提供商对输出收取二到五倍的费用。一个短提示配上长回复,可能比长提示配短回复更贵。

下一步

Whizi 价格页 比较套餐,或用 AI 订阅省钱计算器 估算你现有的订阅。