Modell · Herkunft
🇨🇳 China
Gerankte Modelle dieser Herkunft sowie weitere Katalog-Modelle, die aktuell nicht im Ranking sind.
Stand der Tafel:
Modelle dieser Herkunft
| # | Name | Typ | Kernmetrik | 1M Tokens (Ø) |
|---|---|---|---|---|
| 5 | DeepSeek: DeepSeek V4 Flash | LLM | 1.0M ctx | $0.21 |
| 7 | Xiaomi: MiMo-V2.5 | Multimodal | 1.0M ctx | $1.20 |
| 10 | MiniMax: MiniMax-01 | Multimodal | 1.0M ctx | $0.65 |
| 11 | Qwen: Qwen3.5-Flash | Multimodal | 1.0M ctx | $0.16 |
| 15 | inclusionAI: Ling-2.6-1T (free) | LLM | 262k ctx | $0.00 |
| 16 | Tencent: Hy3 preview (free) | LLM | 262k ctx | $0.00 |
| 19 | ByteDance Seed: Seed 1.6 Flash | Multimodal | 262k ctx | $0.19 |
| 20 | StepFun: Step 3.5 Flash | LLM | 262k ctx | $0.20 |
| 22 | MoonshotAI: Kimi K2 0905 | LLM | 262k ctx | $1.20 |
| 24 | MoonshotAI Kimi Latest | Multimodal | 262k ctx | $2.13 |
| 25 | Kwaipilot: KAT-Coder-Pro V2 | LLM | 256k ctx | $0.75 |
| 29 | Z.ai: GLM 4.6 | LLM | 205k ctx | $1.15 |
| 35 | Baidu: ERNIE 4.5 21B A3B Thinking | LLM | 131k ctx | $0.18 |
| 36 | Tongyi DeepResearch 30B A3B | LLM | 131k ctx | $0.27 |
| 44 | ByteDance: UI-TARS 7B | Multimodal | 128k ctx | $0.15 |
| 72 | DeepSeek: DeepSeek V4 Pro | LLM | 1.0M ctx | $0.65 |
| 76 | Xiaomi: MiMo-V2.5-Pro | LLM | 1.0M ctx | $2.00 |
| 77 | Xiaomi: MiMo-V2-Pro | LLM | 1.0M ctx | $2.00 |
| 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 | Multimodal | 1.0M ctx | $0.88 |
| 92 | Qwen: Qwen3.5 Plus 2026-02-15 | Multimodal | 1.0M ctx | $0.91 |
| 93 | Qwen: Qwen3.6 Plus | Multimodal | 1.0M ctx | $1.14 |
| 94 | MiniMax: MiniMax M1 | LLM | 1.0M ctx | $1.30 |
| 95 | Qwen: Qwen3.5 Plus 2026-04-20 | Multimodal | 1.0M ctx | $1.40 |
| 96 | Qwen: Qwen3 Coder Plus | LLM | 1.0M ctx | $1.95 |
Katalogmodelle (nicht im Ranking)
| Rang | Name | Kernmetrik | Preis | Notes |
|---|---|---|---|---|
| — | Baidu: ERNIE 4.5 21B A3B | 120k ctx | $0.17/1M | baidu/ernie-4.5-21b-a3b |
| — | Baidu: ERNIE 4.5 300B A47B | 123k ctx | $0.69/1M | baidu/ernie-4.5-300b-a47b |
| — | Baidu: ERNIE 4.5 VL 28B A3B | 30k ctx | $0.35/1M | baidu/ernie-4.5-vl-28b-a3b |
| — | Baidu: ERNIE 4.5 VL 424B A47B | 123k ctx | $0.83/1M | baidu/ernie-4.5-vl-424b-a47b |
| — | Baidu: Qianfan-OCR-Fast (free) | 66k ctx | $0.00/1M | baidu/qianfan-ocr-fast:free |
| — | 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 | 164k ctx | $0.60/1M | deepseek/deepseek-chat |
| — | DeepSeek: DeepSeek V3 0324 | 164k ctx | $0.48/1M | deepseek/deepseek-chat-v3-0324 |
| — | DeepSeek: DeepSeek V3.1 | 33k ctx | $0.45/1M | deepseek/deepseek-chat-v3.1 |
| — | DeepSeek: DeepSeek V3.1 Terminus | 164k ctx | $0.50/1M | deepseek/deepseek-v3.1-terminus |
| — | DeepSeek: DeepSeek V3.2 | 131k ctx | $0.32/1M | deepseek/deepseek-v3.2 |
| — | DeepSeek: DeepSeek V3.2 Exp | 164k ctx | $0.34/1M | deepseek/deepseek-v3.2-exp |
| — | DeepSeek: DeepSeek V3.2 Speciale | 164k ctx | $0.80/1M | deepseek/deepseek-v3.2-speciale |
| — | DeepSeek: R1 | 64k ctx | $1.60/1M | deepseek/deepseek-r1 |
| — | DeepSeek: R1 0528 | 164k ctx | $1.32/1M | deepseek/deepseek-r1-0528 |
| — | DeepSeek: R1 Distill Llama 70B | 131k ctx | $0.75/1M | deepseek/deepseek-r1-distill-llama-70b |
| — | DeepSeek: R1 Distill Qwen 32B | 33k ctx | $0.29/1M | deepseek/deepseek-r1-distill-qwen-32b |
| — | inclusionAI: Ling-2.6-flash | 262k ctx | $0.16/1M | inclusionai/ling-2.6-flash |
| — | MiniMax: MiniMax M2 | 197k ctx | $0.63/1M | minimax/minimax-m2 |
| — | MiniMax: MiniMax M2-her | 66k ctx | $0.75/1M | minimax/minimax-m2-her |
| — | MiniMax: MiniMax M2.1 | 197k ctx | $0.62/1M | minimax/minimax-m2.1 |
| — | MiniMax: MiniMax M2.5 | 197k ctx | $0.65/1M | minimax/minimax-m2.5 |
| — | MiniMax: MiniMax M2.5 (free) | 197k ctx | $0.00/1M | minimax/minimax-m2.5:free |
| — | MiniMax: MiniMax M2.7 | 197k ctx | $0.75/1M | minimax/minimax-m2.7 |
| — | MoonshotAI: Kimi K2 0711 | 131k ctx | $1.44/1M | moonshotai/kimi-k2 |
| — | MoonshotAI: Kimi K2 Thinking | 262k ctx | $1.55/1M | moonshotai/kimi-k2-thinking |
| — | MoonshotAI: Kimi K2.5 | 262k ctx | $1.22/1M | moonshotai/kimi-k2.5 |
| — | MoonshotAI: Kimi K2.6 | 262k ctx | $2.13/1M | moonshotai/kimi-k2.6 |
| — | Qwen: Qwen VL Max | 131k ctx | $1.30/1M | qwen/qwen-vl-max |
| — | Qwen: Qwen VL Plus | 131k ctx | $0.27/1M | qwen/qwen-vl-plus |
| — | Qwen: Qwen-Max | 33k ctx | $2.60/1M | qwen/qwen-max |
| — | Qwen: Qwen-Turbo | 131k ctx | $0.08/1M | qwen/qwen-turbo |
| — | Qwen: Qwen2.5 7B Instruct | 33k ctx | $0.07/1M | qwen/qwen-2.5-7b-instruct |
| — | Qwen: Qwen2.5 VL 72B Instruct | 32k ctx | $0.50/1M | qwen/qwen2.5-vl-72b-instruct |
| — | Qwen: Qwen3 14B | 41k ctx | $0.15/1M | qwen/qwen3-14b |
| — | Qwen: Qwen3 235B A22B | 131k ctx | $1.14/1M | qwen/qwen3-235b-a22b |
| — | Qwen: Qwen3 235B A22B Instruct 2507 | 262k ctx | $0.09/1M | qwen/qwen3-235b-a22b-2507 |
| — | Qwen: Qwen3 235B A22B Thinking 2507 | 131k ctx | $0.82/1M | qwen/qwen3-235b-a22b-thinking-2507 |
| — | Qwen: Qwen3 30B A3B | 41k ctx | $0.18/1M | qwen/qwen3-30b-a3b |
| — | Qwen: Qwen3 30B A3B Instruct 2507 | 262k ctx | $0.20/1M | 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 | 41k ctx | $0.16/1M | qwen/qwen3-32b |
| — | Qwen: Qwen3 8B | 41k 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 480B A35B | 262k ctx | $1.01/1M | qwen/qwen3-coder |
| — | Qwen: Qwen3 Coder 480B A35B (free) | 262k ctx | $0.00/1M | qwen/qwen3-coder:free |
| — | Qwen: Qwen3 Coder Next | 262k ctx | $0.47/1M | 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 | $0.59/1M | qwen/qwen3-next-80b-a3b-instruct |
| — | Qwen: Qwen3 Next 80B A3B Instruct (free) | 262k ctx | $0.00/1M | qwen/qwen3-next-80b-a3b-instruct:free |
| — | Qwen: Qwen3 Next 80B A3B Thinking | 131k 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 | 131k 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 | 131k ctx | $0.26/1M | qwen/qwen3-vl-32b-instruct |
| — | Qwen: Qwen3 VL 8B Instruct | 131k ctx | $0.29/1M | qwen/qwen3-vl-8b-instruct |
| — | Qwen: Qwen3 VL 8B Thinking | 131k ctx | $0.74/1M | qwen/qwen3-vl-8b-thinking |
| — | Qwen: Qwen3.5 397B A17B | 262k ctx | $1.36/1M | 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 | $0.73/1M | qwen/qwen3.5-35b-a3b |
| — | Qwen: Qwen3.5-9B | 262k ctx | $0.13/1M | qwen/qwen3.5-9b |
| — | Qwen: Qwen3.6 27B | 256k ctx | $1.79/1M | qwen/qwen3.6-27b |
| — | Qwen: Qwen3.6 35B A3B | 262k ctx | $0.56/1M | qwen/qwen3.6-35b-a3b |
| — | Qwen: Qwen3.6 Max Preview | 262k ctx | $3.64/1M | qwen/qwen3.6-max-preview |
| — | Qwen2.5 72B Instruct | 33k ctx | $0.38/1M | qwen/qwen-2.5-72b-instruct |
| — | Qwen2.5 Coder 32B Instruct | 33k ctx | $0.83/1M | qwen/qwen-2.5-coder-32b-instruct |
| — | Tencent: Hunyuan A13B Instruct | 131k ctx | $0.35/1M | tencent/hunyuan-a13b-instruct |
| — | Xiaomi: MiMo-V2-Flash | 262k ctx | $0.19/1M | xiaomi/mimo-v2-flash |
| — | Xiaomi: MiMo-V2-Omni | 262k ctx | $1.20/1M | xiaomi/mimo-v2-omni |
| — | Z.ai: GLM 4 32B | 128k ctx | $0.10/1M | z-ai/glm-4-32b |
| — | 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 4.5 Air (free) | 131k ctx | $0.00/1M | z-ai/glm-4.5-air:free |
| — | Z.ai: GLM 4.5V | 66k ctx | $1.20/1M | z-ai/glm-4.5v |
| — | Z.ai: GLM 4.6V | 131k ctx | $0.60/1M | z-ai/glm-4.6v |
| — | Z.ai: GLM 4.7 | 203k ctx | $1.06/1M | 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 | $1.34/1M | z-ai/glm-5 |
| — | Z.ai: GLM 5 Turbo | 203k ctx | $2.60/1M | z-ai/glm-5-turbo |
| — | Z.ai: GLM 5.1 | 203k ctx | $2.27/1M | z-ai/glm-5.1 |
| — | Z.ai: GLM 5V Turbo | 203k ctx | $2.60/1M | z-ai/glm-5v-turbo |