模型 · 来源地
🇨🇳 China
该来源地的上榜模型，以及当前未进入榜单的目录模型。
榜单快照：
本来源地模型
| # | 名称 | 类型 | 核心指标 | 1M Token (均价) |
|---|---|---|---|---|
| 7 | Qwen: Qwen3 Coder 480B A35B (free) | LLM | 1.0M ctx | $0.00 |
| 8 | DeepSeek: DeepSeek V4 Flash | LLM | 1.0M ctx | $0.14 |
| 9 | Xiaomi: MiMo-V2.5 | 多模态 | 1.0M ctx | $0.21 |
| 10 | MiniMax: MiniMax M3 | 多模态 | 1.0M ctx | $0.75 |
| 11 | Z.ai: GLM 5.2 | LLM | 1.0M ctx | $2.90 |
| 20 | inclusionAI: Ling-2.6-flash | LLM | 262k ctx | $0.02 |
| 22 | Tencent: Hy3 preview | LLM | 262k ctx | $0.16 |
| 23 | ByteDance Seed: Seed 1.6 Flash | 多模态 | 262k ctx | $0.19 |
| 24 | StepFun: Step 3.5 Flash | LLM | 262k ctx | $0.20 |
| 26 | MoonshotAI: Kimi K2.5 | 多模态 | 262k ctx | $1.20 |
| 28 | MoonshotAI Kimi Latest | 多模态 | 262k ctx | $2.04 |
| 29 | Kwaipilot: KAT-Coder-Pro V2 | LLM | 256k ctx | $0.75 |
| 40 | Baidu: ERNIE 4.5 VL 424B A47B | 多模态 | 131k ctx | $0.83 |
| 44 | ByteDance: UI-TARS 7B | 多模态 | 128k ctx | $0.15 |
| 67 | DeepSeek: DeepSeek V4 Pro | LLM | 1.0M ctx | $0.65 |
| 68 | Xiaomi: MiMo-V2.5-Pro | LLM | 1.0M ctx | $0.65 |
| 71 | Qwen: Qwen3 Coder 480B A35B | LLM | 1.0M ctx | $1.01 |
| 83 | MiniMax: MiniMax-01 | 多模态 | 1.0M ctx | $0.65 |
| 85 | Qwen: Qwen3.5-Flash | 多模态 | 1.0M ctx | $0.16 |
| 87 | Qwen: Qwen Plus 0728 (thinking) | LLM | 1.0M ctx | $0.52 |
| 88 | Qwen: Qwen Plus 0728 | LLM | 1.0M ctx | $0.52 |
| 89 | Qwen: Qwen-Plus | LLM | 1.0M ctx | $0.52 |
| 90 | Qwen: Qwen3 Coder Flash | LLM | 1.0M ctx | $0.58 |
| 91 | Qwen: Qwen3.6 Flash | 多模态 | 1.0M ctx | $0.66 |
| 92 | Qwen: Qwen3.7 Plus | 多模态 | 1.0M ctx | $0.80 |
| 93 | Qwen: Qwen3.5 Plus 2026-02-15 | 多模态 | 1.0M ctx | $0.91 |
| 94 | Qwen: Qwen3.5 Plus 2026-04-20 | 多模态 | 1.0M ctx | $1.05 |
| 95 | Qwen: Qwen3.6 Plus | 多模态 | 1.0M ctx | $1.14 |
| 96 | MiniMax: MiniMax M1 | LLM | 1.0M ctx | $1.30 |
| 99 | Qwen: Qwen3 Coder Plus | LLM | 1.0M ctx | $1.95 |
| 100 | Qwen: Qwen3.7 Max | LLM | 1.0M ctx | $2.50 |
目录模型（未上榜）
| 排名 | 名称 | 核心指标 | 价格 | Notes |
|---|---|---|---|---|
| — | ByteDance Seed: Seed 1.6 | 262k ctx | $1.13/1M | bytedance-seed/seed-1.6 |
| — | ByteDance Seed: Seed-2.0-Lite | 262k ctx | $1.13/1M | bytedance-seed/seed-2.0-lite |
| — | ByteDance Seed: Seed-2.0-Mini | 262k ctx | $0.25/1M | bytedance-seed/seed-2.0-mini |
| — | DeepSeek: DeepSeek V3 | 131k ctx | $0.50/1M | deepseek/deepseek-chat |
| — | DeepSeek: DeepSeek V3 0324 | 164k ctx | $0.48/1M | deepseek/deepseek-chat-v3-0324 |
| — | DeepSeek: DeepSeek V3.1 | 164k ctx | $0.50/1M | deepseek/deepseek-chat-v3.1 |
| — | DeepSeek: DeepSeek V3.1 Terminus | 164k ctx | $0.61/1M | deepseek/deepseek-v3.1-terminus |
| — | DeepSeek: DeepSeek V3.2 | 131k ctx | $0.29/1M | deepseek/deepseek-v3.2 |
| — | DeepSeek: DeepSeek V3.2 Exp | 164k ctx | $0.34/1M | deepseek/deepseek-v3.2-exp |
| — | DeepSeek: R1 | 164k ctx | $1.60/1M | deepseek/deepseek-r1 |
| — | DeepSeek: R1 0528 | 164k ctx | $1.32/1M | deepseek/deepseek-r1-0528 |
| — | DeepSeek: R1 Distill Llama 70B | 128k ctx | $0.80/1M | deepseek/deepseek-r1-distill-llama-70b |
| — | inclusionAI: Ling-2.6-1T | 262k ctx | $0.35/1M | inclusionai/ling-2.6-1t |
| — | inclusionAI: Ring-2.6-1T | 262k ctx | $0.35/1M | inclusionai/ring-2.6-1t |
| — | MiniMax: MiniMax M2 | 205k ctx | $0.63/1M | minimax/minimax-m2 |
| — | MiniMax: MiniMax M2-her | 66k ctx | $0.75/1M | minimax/minimax-m2-her |
| — | MiniMax: MiniMax M2.1 | 205k ctx | $0.62/1M | minimax/minimax-m2.1 |
| — | MiniMax: MiniMax M2.5 | 205k ctx | $0.53/1M | minimax/minimax-m2.5 |
| — | MiniMax: MiniMax M2.7 | 205k ctx | $0.63/1M | minimax/minimax-m2.7 |
| — | MoonshotAI: Kimi K2 0711 | 131k ctx | $1.43/1M | moonshotai/kimi-k2 |
| — | MoonshotAI: Kimi K2 0905 | 262k ctx | $1.55/1M | moonshotai/kimi-k2-0905 |
| — | MoonshotAI: Kimi K2 Thinking | 262k ctx | $1.55/1M | moonshotai/kimi-k2-thinking |
| — | MoonshotAI: Kimi K2.6 | 262k ctx | $2.04/1M | moonshotai/kimi-k2.6 |
| — | MoonshotAI: Kimi K2.7 Code | 262k ctx | $2.12/1M | moonshotai/kimi-k2.7-code |
| — | Qwen: Qwen2.5 7B Instruct | 131k ctx | $0.07/1M | qwen/qwen-2.5-7b-instruct |
| — | Qwen: Qwen2.5 VL 72B Instruct | 131k ctx | $0.90/1M | qwen/qwen2.5-vl-72b-instruct |
| — | Qwen: Qwen3 14B | 132k ctx | $0.17/1M | qwen/qwen3-14b |
| — | Qwen: Qwen3 235B A22B | 131k ctx | $1.14/1M | qwen/qwen3-235b-a22b |
| — | Qwen: Qwen3 235B A22B Instruct 2507 | 262k ctx | $0.10/1M | qwen/qwen3-235b-a22b-2507 |
| — | Qwen: Qwen3 235B A22B Thinking 2507 | 262k ctx | $0.10/1M | qwen/qwen3-235b-a22b-thinking-2507 |
| — | Qwen: Qwen3 30B A3B | 131k ctx | $0.31/1M | qwen/qwen3-30b-a3b |
| — | Qwen: Qwen3 30B A3B Instruct 2507 | 131k ctx | $0.12/1M | qwen/qwen3-30b-a3b-instruct-2507 |
| — | Qwen: Qwen3 30B A3B Thinking 2507 | 131k ctx | $0.24/1M | qwen/qwen3-30b-a3b-thinking-2507 |
| — | Qwen: Qwen3 32B | 131k ctx | $0.18/1M | qwen/qwen3-32b |
| — | Qwen: Qwen3 8B | 131k ctx | $0.23/1M | qwen/qwen3-8b |
| — | Qwen: Qwen3 Coder 30B A3B Instruct | 160k ctx | $0.17/1M | qwen/qwen3-coder-30b-a3b-instruct |
| — | Qwen: Qwen3 Coder Next | 262k ctx | $0.46/1M | qwen/qwen3-coder-next |
| — | Qwen: Qwen3 Max | 262k ctx | $2.34/1M | qwen/qwen3-max |
| — | Qwen: Qwen3 Max Thinking | 262k ctx | $2.34/1M | qwen/qwen3-max-thinking |
| — | Qwen: Qwen3 Next 80B A3B Instruct | 262k ctx | $0.60/1M | qwen/qwen3-next-80b-a3b-instruct |
| — | Qwen: Qwen3 Next 80B A3B Instruct (free) | 262k ctx | — | qwen/qwen3-next-80b-a3b-instruct:free |
| — | Qwen: Qwen3 Next 80B A3B Thinking | 262k ctx | $0.44/1M | qwen/qwen3-next-80b-a3b-thinking |
| — | Qwen: Qwen3 VL 235B A22B Instruct | 262k ctx | $0.54/1M | qwen/qwen3-vl-235b-a22b-instruct |
| — | Qwen: Qwen3 VL 235B A22B Thinking | 131k ctx | $1.43/1M | qwen/qwen3-vl-235b-a22b-thinking |
| — | Qwen: Qwen3 VL 30B A3B Instruct | 262k ctx | $0.33/1M | qwen/qwen3-vl-30b-a3b-instruct |
| — | Qwen: Qwen3 VL 30B A3B Thinking | 131k ctx | $0.84/1M | qwen/qwen3-vl-30b-a3b-thinking |
| — | Qwen: Qwen3 VL 32B Instruct | 262k ctx | $0.26/1M | qwen/qwen3-vl-32b-instruct |
| — | Qwen: Qwen3 VL 8B Instruct | 256k ctx | $0.29/1M | qwen/qwen3-vl-8b-instruct |
| — | Qwen: Qwen3 VL 8B Thinking | 256k ctx | $0.74/1M | qwen/qwen3-vl-8b-thinking |
| — | Qwen: Qwen3.5 397B A17B | 256k ctx | $1.42/1M | qwen/qwen3.5-397b-a17b |
| — | Qwen: Qwen3.5-122B-A10B | 262k ctx | $1.17/1M | qwen/qwen3.5-122b-a10b |
| — | Qwen: Qwen3.5-27B | 262k ctx | $0.88/1M | qwen/qwen3.5-27b |
| — | Qwen: Qwen3.5-35B-A3B | 262k ctx | $0.57/1M | qwen/qwen3.5-35b-a3b |
| — | Qwen: Qwen3.5-9B | 262k ctx | $0.13/1M | qwen/qwen3.5-9b |
| — | Qwen: Qwen3.6 27B | 262k ctx | $1.73/1M | qwen/qwen3.6-27b |
| — | Qwen: Qwen3.6 35B A3B | 262k ctx | $0.57/1M | qwen/qwen3.6-35b-a3b |
| — | Qwen: Qwen3.6 Max Preview | 262k ctx | $3.64/1M | qwen/qwen3.6-max-preview |
| — | Qwen2.5 72B Instruct | 131k ctx | $0.38/1M | qwen/qwen-2.5-72b-instruct |
| — | Qwen2.5 Coder 32B Instruct | 128k ctx | $0.83/1M | qwen/qwen-2.5-coder-32b-instruct |
| — | StepFun: Step 3.7 Flash | 256k ctx | $0.67/1M | stepfun/step-3.7-flash |
| — | Tencent: Hunyuan A13B Instruct | 131k ctx | $0.35/1M | tencent/hunyuan-a13b-instruct |
| — | Xiaomi: MiMo-V2-Flash | 262k ctx | $0.20/1M | xiaomi/mimo-v2-flash |
| — | Z.ai: GLM 4.5 | 131k ctx | $1.40/1M | z-ai/glm-4.5 |
| — | Z.ai: GLM 4.5 Air | 131k ctx | $0.49/1M | z-ai/glm-4.5-air |
| — | Z.ai: GLM 4.5V | 66k ctx | $1.20/1M | z-ai/glm-4.5v |
| — | Z.ai: GLM 4.6 | 203k ctx | $1.08/1M | z-ai/glm-4.6 |
| — | Z.ai: GLM 4.6V | 131k ctx | $0.60/1M | z-ai/glm-4.6v |
| — | Z.ai: GLM 4.7 | 203k ctx | $1.07/1M | z-ai/glm-4.7 |
| — | Z.ai: GLM 4.7 Flash | 203k ctx | $0.23/1M | z-ai/glm-4.7-flash |
| — | Z.ai: GLM 5 | 203k ctx | $1.26/1M | z-ai/glm-5 |
| — | Z.ai: GLM 5 Turbo | 262k ctx | $2.60/1M | z-ai/glm-5-turbo |
| — | Z.ai: GLM 5.1 | 203k ctx | $2.03/1M | z-ai/glm-5.1 |