大模型 API 定价
探索我们模型 API 的定价。通过透明的费率和灵活的选项，找到适合您需求的正确方案。
Anthropic
Anthropic的Claude模型提供先进的安全AI能力，专注于有用、无害、诚实的AI助手，具有强大的推理和对话能力。
| 模型名称 | Input Token Range | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|---|
| claude-haiku-4-5-20251001 | 1-2K | 20K | $5 | $13(5m) | $12 | $10 | |
| 2K-10K | 20K | $3 | $8(5m) | $8 | $4 | ||
| claude-3-7-sonnet-20250219 | - | 200K | $3 | $3.75(5m) | $0.3 | $15 | |
| claude-sonnet-4-20250514 | - | 200K | $3 | $3.75(5m)·$6.6(1h) | $0.3 | $15 | |
| claude-opus-4-20250514 | - | 200K | $15 | $18.75(5m) | $1.5 | $75 | |
| claude-opus-4-1-20250805 | - | 200K | $15 | $18.75(5m) | $1.5 | $75 | |
| claude-sonnet-4-5-20250929官方资源 | 1-2K | 200K | $2 | $4(5m)·$8(1h) | $4 | $2 | |
| 2K-20K | 200K | $4 | $6(5m)·$10(1h) | $6 | $4 | ||
| claude-3-5-sonnet-20241022 | - | 200K | $3 | $3.75(5m) | $0.3 | $15 | |
| claude-3-haiku-20240307 | - | 200K | $0.25 | - | - | $1.25 | |
| claude-3-5-haiku-20241022 | - | 200K | $0.8 | - | - | $4 |
OpenAI
OpenAI的GPT系列模型提供最先进的语言理解和生成能力，在多种任务中表现出色，是业界领先的AI模型。
| 模型名称 | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|
| gpt-5-codex | 400K | $1.25 | - | $0.125 | $10 | |
| OpenAI GPT OSS 120B | 131.1K | $0.1 | - | - | $0.5 | |
| OpenAI: GPT OSS 20B | 131.1K | $0.05 | - | - | $0.2 | |
| gpt-5-mini | 400K | $0.25 | - | $0.025 | $2 | |
| gpt-5-nano | 400K | $0.05 | - | $0.005 | $0.4 | |
| gpt-5-pro | 400K | $15 | $1(1h) | - | $120 | |
| gpt-5.6-sol | 400K | $1 | $5(30m) | $3 | $2 | |
| gpt-5-chat-latest | 400K | $1.25 | - | $0.125 | $10 | |
| gpt-5 | 500K | $1.25 | $0.1(5m)·$0.2(1h) | $0.125 | $10 | |
| gpt-4.1-mini | 1M | $0.4 | - | $0.1 | $1.6 | |
| gpt-4.1-nano | 1M | $0.1 | - | $0.025 | $0.4 | |
| gpt-4.1 | 1M | $2 | - | $0.5 | $8 | |
| gpt-4o-mini | 131.1K | $0.15 | - | $0.075 | $0.6 | |
| gpt-4o | 131.1K | $2.5 | - | $1.25 | $10 |
Gemini
Google的Gemini模型提供高质量的语言处理能力，在各种NLP任务中表现出色，具有强大的多模态能力。
| 模型名称 | Input Token Range | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|---|
| gemini-3.1-flash-lite-preview—naer官方资源 | 1-24.8M | 1M | 免费 | - | - | 免费 | |
| Gemma3 12B | - | 131.1K | $0.05 | - | - | $0.1 | |
| gemini-2.5-flash | - | 1M | $0.3 | $0.083(5m) | $0.075 | $2.5 | |
| gemini-2.5-pro | - | 1M | $1.25 | $0.375(5m) | $0.3125 | $10 | |
| Gemma 3 27B | - | 32.8K | $0.119 | - | - | $0.2 | |
| gemini-3.1-flash-lite-preview低价专区 | 1-24.8M | 1M | $10000 | $10002(5m)·$10003(1h) | $10001 | $10007 | |
| gemini-2.5-flash-lite-preview-09-2025 | - | 1M | $0.1 | $0.083(5m) | $0.01 | $0.4 | |
| gemini-2.0-flash-lite | - | 1M | $0.075 | $0.083(5m) | $0.0188 | $0.3 | |
| gemini-2.5-flash-lite | - | 1M | $0.1 | $0.083(5m) | $0.025 | $0.4 | |
| gemini-2.5-flash-lite-preview-06-17 | - | 1M | $0.1 | - | - | $0.4 | |
| gemini-2.5-flash-preview-05-20 | - | 1M | $0.15 | - | - | $3.5 | |
| gemini-2.5-pro-preview-06-05 | - | 1M | $1.25 | - | - | $10 | |
| gemini-2.0-flash-20250609 | - | 1M | $0.15 | - | - | $0.6 |
Qwen
Qwen系列模型提供高效的语言处理能力，具有多种参数规模，从轻量级到企业级解决方案。
| 模型名称 | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|
| Qwen/Qwen3-8B | - | 免费 | - | - | 免费 | |
| Qwen3 Next 80B A3B Thinking低价专区 | 65.5K | $6 | $6(5m)·$6(1h) | $6 | $6 | |
| Qwen3 Coder 480B A35B Instruct | 262.1K | $0.29 | - | - | $1.2 | |
| Qwen3 235B A22b Thinking 2507 | 131.1K | $0.3 | - | - | $3 | |
| Qwen3 235B A22B Instruct 2507 | 131.1K | $0.15 | - | - | $0.8 | |
| Qwen 2.5 72B Instruct | 32K | $0.38 | - | - | $0.4 | |
| Qwen3 235B A22B | 41K | $0.2 | - | - | $0.8 | |
| Qwen2.5 VL 72B Instruct | 32.8K | $0.8 | - | - | $0.8 | |
| Qwen3 32B | 41K | $0.1 | - | - | $0.45 | |
| Qwen3 30B A3B | 41K | $0.09 | - | - | $0.45 | |
| Qwen3 Next 80B A3B Instruct低价专区 | 65.5K | $0.15 | - | - | $1.5 | |
| Qwen MT Plus | 4.1K | $0.25 | - | - | $0.75 | |
| Qwen3 8B | 128K | $0.035 | - | - | $0.138 | |
| Qwen2.5 7B Instruct | 32K | $0.07 | - | - | $0.07 |
Deepseek
来自DeepSeek的先进AI模型，为企业级和研究应用提供前沿的推理能力和具有竞争力的价格。
| 模型名称 | Input Token Range | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|---|
| deepseek/deepseek-v3.1-test | - | 20K | 免费 | - | - | 免费 | |
| DeepSeek V3.1 | - | 163.8K | $20 | $1(5m) | $1 | $100 | |
| DeepSeek R1 0528 | 1-32.8K | 163.8K | $0.015 | $0.006(5m) | $0.009001 | $0.06 | |
| 131.1K-204.8K | 163.8K | $0.03 | $0.007(5m) | $0.005001 | $0.06 | ||
| 32.8K-131.1K | 163.8K | $0.08 | $0.005(5m) | $0.003001 | $0.04 | ||
| DeepSeek V3 0324 | - | 163.8K | $0.28 | $0.14(5m) | $0.14 | $1.14 |
Mixture of Expert
最先进AI模型的高级集合，具有高级推理、数学证明能力和跨多个领域的前沿语言理解能力。
| 模型名称 | Input Token Range | 上下文 | 输入(/Mt) | 缓存写入(/Mt) | 缓存读取(/Mt) | 输出(/Mt) | 操作 |
|---|---|---|---|---|---|---|---|
| DeepSeek V3.1 | - | 163.8K | $20 | $1(5m) | $1 | $100 | |
| OpenAI GPT OSS 120B | - | 131.1K | $0.1 | - | - | $0.5 | |
| GLM-4.5 | - | 131.1K | $0.6 | - | - | $2.2 | |
| Qwen3 235B A22b Thinking 2507 | - | 131.1K | $0.3 | - | - | $3 | |
| GLM 4.5V | - | 65.5K | $0.6 | - | - | $1.8 | |
| OpenAI: GPT OSS 20B | - | 131.1K | $0.05 | - | - | $0.2 | |
| MiniMax M1 | - | 1M | $0.55 | - | - | $2.2 | |
| DeepSeek R1 0528 | 1-32.8K | 163.8K | $0.015 | $0.006(5m) | $0.009001 | $0.06 | |
| 131.1K-204.8K | 163.8K | $0.03 | $0.007(5m) | $0.005001 | $0.06 | ||
| 32.8K-131.1K | 163.8K | $0.08 | $0.005(5m) | $0.003001 | $0.04 | ||
| Qwen3 235B A22B | - | 41K | $0.2 | - | - | $0.8 | |
| Llama 4 Maverick Instruct | - | 1M | $0.17 | - | - | $0.85 | |
| Llama 4 Scout Instruct | - | 131.1K | $0.1 | - | - | $0.5 | |
| 222 | 1-200 | 222 | $2 | $5(5m) | $4 | $3 | |
| 200-50K | 222 | $3 | $6(5m) | $5 | $4 | ||
| 50K-250K | 222 | $4 | $7(5m) | $6 | $5 | ||
| ERNIE 4.5 VL 424B A47B | - | 123K | $0.42 | - | - | $1.25 | |
| ERNIE 4.5 300B A47B | - | 123K | $0.28 | - | - | $1.1 | |
| Qwen3 32B | - | 41K | $0.1 | - | - | $0.45 | |
| Qwen3 30B A3B | - | 41K | $0.09 | - | - | $0.45 | |
| Kimi K2 Instruct | - | 131.1K | $0.57 | - | - | $2.3 | |
| DeepSeek V3 0324 | - | 163.8K | $0.28 | $0.14(5m) | $0.14 | $1.14 | |
| test-model-jiekou-2 | 1-32K | 65K | $5.1 | $8.1(5m) | $7.1 | $6.1 | |
| 32K-128K | 65K | $5.3 | $8.3(5m) | $7.3 | $6.3 | ||
| 128K-256K | 65K | $5.2 | $8.2(5m) | $7.2 | $6.2 |