Modelo · Origen
🇨🇳 China
Modelos ranked de este origen, mas entradas de catalogo que aun no estan en ranking.
Instantánea del ranking:
Modelos de este origen
| # | Nombre | Tipo | Métrica clave | 1M tokens (media) |
|---|---|---|---|---|
| 4 | Xiaomi: MiMo-V2.6-Flash | Multimodal | 1.1M ctx | $0.21 |
| 9 | Z.ai: GLM Flash Latest | Multimodal | 1.0M ctx | $0.06 |
| 10 | Z.ai: GLM 5.3 Flash | Multimodal | 1.0M ctx | $0.06 |
| 11 | DeepSeek: DeepSeek V4.1 Flash (batch) | Multimodal | 1.0M ctx | $0.10 |
| 13 | DeepSeek: DeepSeek V4 Flash Latest | LLM | 1.0M ctx | $0.18 |
| 16 | MiniMax: MiniMax M3.1 Flash | Multimodal | 1.0M ctx | $0.38 |
| 19 | Tencent: Hy4 preview | LLM | 1.0M ctx | $1.67 |
| 20 | StepFun: Step 5 Preview | Multimodal | 1.0M ctx | $1.85 |
| 24 | MoonshotAI: Kimi Latest | Multimodal | 1.0M ctx | $3.65 |
| 25 | Qwen: Qwen3.8 2.4T A95B | LLM | 1.0M ctx | $4.00 |
| 26 | MoonshotAI: Kimi K3.1 Pro | Multimodal | 1.0M ctx | $6.00 |
| 32 | inclusionAI: Ling 3.1 Flash | LLM | 1.0M ctx | $0.15 |
| 44 | ByteDance Seed: Seed 1.6 Flash | Multimodal | 262k ctx | $0.19 |
| 56 | ByteDance: UI-TARS 7B | Multimodal | 128k ctx | $0.15 |
| 73 | Xiaomi: MiMo-V2.6-Pro | Multimodal | 1.1M ctx | $0.65 |
| 76 | Xiaomi: MiMo-V2.5-Pro | LLM | 1.1M ctx | $1.14 |
| 77 | Xiaomi: MiMo-V2.5 | Multimodal | 1.1M ctx | $1.20 |
Modelos de catalogo (fuera del ranking)
| Puesto | Nombre | Métrica clave | Precio | Notes |
|---|---|---|---|---|
| — | ByteDance Seed: Seed 1.6 | 262k ctx | $1.13/1M | bytedance-seed/seed-1.6 |
| — | ByteDance Seed: Seed 2.1 Turbo | 262k ctx | $1.50/1M | bytedance-seed/seed-2-1-turbo |
| — | ByteDance Seed: Seed-2.0-Code | 262k ctx | $1.75/1M | bytedance-seed/seed-2.0-code |
| — | 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 Flash Latest | 1.0M ctx | $0.27/1M | ~deepseek/deepseek-flash-latest |
| — | DeepSeek: DeepSeek Pro Latest | 1.0M ctx | $4.05/1M | ~deepseek/deepseek-pro-latest |
| — | DeepSeek: DeepSeek V3 | 164k ctx | $0.64/1M | deepseek/deepseek-chat |
| — | DeepSeek: DeepSeek V3 0324 | 164k ctx | $0.71/1M | deepseek/deepseek-chat-v3-0324 |
| — | DeepSeek: DeepSeek V3.1 | 164k ctx | $0.60/1M | deepseek/deepseek-chat-v3.1 |
| — | DeepSeek: DeepSeek V3.1 Terminus | 164k ctx | $0.64/1M | deepseek/deepseek-v3.1-terminus |
| — | DeepSeek: DeepSeek V3.2 | 164k 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 V4 Flash 0423 | 1.0M ctx | $0.14/1M | deepseek/deepseek-v4-flash |
| — | DeepSeek: DeepSeek V4 Flash 0731 | 1.0M ctx | $0.18/1M | deepseek/deepseek-v4-flash-0731 |
| — | DeepSeek: DeepSeek V4 Flash Vision Exp | 1.0M ctx | $0.43/1M | deepseek/deepseek-v4-flash-vision-exp |
| — | DeepSeek: DeepSeek V4 Pro 0423 | 1.0M ctx | $2.40/1M | deepseek/deepseek-v4-pro |
| — | DeepSeek: DeepSeek V4 Pro 0813 | 1.0M ctx | $2.06/1M | deepseek/deepseek-v4-pro-0813 |
| — | DeepSeek: DeepSeek V4.1 Flash | 1.0M ctx | $0.27/1M | deepseek/deepseek-v4.1-flash |
| — | DeepSeek: DeepSeek V4.1 Flash 1017 | 1.0M ctx | $0.38/1M | deepseek/deepseek-v4.1-flash-1017 |
| — | DeepSeek: R1 0528 | 164k ctx | $1.32/1M | deepseek/deepseek-r1-0528 |
| — | inclusionAI: Ling 3.0 Flash | 262k ctx | $0.04/1M | inclusionai/ling-3.0-flash |
| — | inclusionAI: Ling 3.0 Flash VL | 131k ctx | $0.12/1M | inclusionai/ling-3.0-flash-vl |
| — | MiniMax: MiniMax M1 | 1.0M ctx | $1.38/1M | minimax/minimax-m1 |
| — | MiniMax: MiniMax M2 | 205k ctx | $0.64/1M | minimax/minimax-m2 |
| — | MiniMax: MiniMax M2-her | 66k ctx | $0.75/1M | minimax/minimax-m2-her |
| — | MiniMax: MiniMax M2.1 | 205k ctx | $0.75/1M | minimax/minimax-m2.1 |
| — | MiniMax: MiniMax M2.5 | 205k ctx | $0.61/1M | minimax/minimax-m2.5 |
| — | MiniMax: MiniMax M2.7 | 205k ctx | $0.75/1M | minimax/minimax-m2.7 |
| — | MiniMax: MiniMax M3 | 1.0M ctx | $0.75/1M | minimax/minimax-m3 |
| — | MiniMax: MiniMax-01 | 1.0M ctx | $0.65/1M | minimax/minimax-01 |
| — | 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 K2.5 | 262k ctx | $1.50/1M | moonshotai/kimi-k2.5 |
| — | MoonshotAI: Kimi K2.6 | 262k ctx | $2.03/1M | moonshotai/kimi-k2.6 |
| — | MoonshotAI: Kimi K2.7 Code | 262k ctx | $2.05/1M | moonshotai/kimi-k2.7-code |
| — | MoonshotAI: Kimi K3 | 1.0M ctx | $7.60/1M | moonshotai/kimi-k3 |
| — | MoonshotAI: Kimi K3 (batch) | 1.0M ctx | $6.84/1M | moonshotai/kimi-k3:batch |
| — | Qwen: Qwen-Plus | 1.0M ctx | $0.52/1M | qwen/qwen-plus |
| — | Qwen: Qwen2.5 7B Instruct | 33k ctx | $0.15/1M | qwen/qwen-2.5-7b-instruct |
| — | Qwen: Qwen2.5 VL 72B Instruct | 128k ctx | $0.90/1M | qwen/qwen2.5-vl-72b-instruct |
| — | Qwen: Qwen3 14B | 41k ctx | $0.18/1M | qwen/qwen3-14b |
| — | Qwen: Qwen3 235B A22B Instruct 2507 | 262k ctx | $0.32/1M | qwen/qwen3-235b-a22b-2507 |
| — | Qwen: Qwen3 235B A22B Thinking 2507 | 128k ctx | $1.98/1M | qwen/qwen3-235b-a22b-thinking-2507 |
| — | Qwen: Qwen3 30B A3B | 41k ctx | $0.31/1M | qwen/qwen3-30b-a3b |
| — | Qwen: Qwen3 30B A3B Instruct 2507 | 262k ctx | $0.20/1M | qwen/qwen3-30b-a3b-instruct-2507 |
| — | Qwen: Qwen3 32B | 131k ctx | $0.18/1M | qwen/qwen3-32b |
| — | Qwen: Qwen3 Coder 30B A3B Instruct | 262k ctx | $0.18/1M | qwen/qwen3-coder-30b-a3b-instruct |
| — | Qwen: Qwen3 Coder 480B A35B | 262k ctx | $0.65/1M | qwen/qwen3-coder |
| — | Qwen: Qwen3 Coder Flash | 1.0M ctx | $0.58/1M | qwen/qwen3-coder-flash |
| — | Qwen: Qwen3 Coder Next | 262k ctx | $0.46/1M | qwen/qwen3-coder-next |
| — | Qwen: Qwen3 Next 80B A3B Instruct | 262k ctx | $0.60/1M | qwen/qwen3-next-80b-a3b-instruct |
| — | Qwen: Qwen3 VL 235B A22B Instruct | 262k ctx | $1.05/1M | qwen/qwen3-vl-235b-a22b-instruct |
| — | Qwen: Qwen3 VL 30B A3B Instruct | 262k ctx | $0.38/1M | qwen/qwen3-vl-30b-a3b-instruct |
| — | Qwen: Qwen3 VL 30B A3B Thinking | 262k ctx | $0.65/1M | qwen/qwen3-vl-30b-a3b-thinking |
| — | Qwen: Qwen3 VL 8B Instruct | 262k ctx | $0.50/1M | qwen/qwen3-vl-8b-instruct |
| — | Qwen: Qwen3.5 397B A17B | 262k ctx | $2.05/1M | qwen/qwen3.5-397b-a17b |
| — | Qwen: Qwen3.5 Plus 2026-02-15 | 1.0M ctx | $0.91/1M | qwen/qwen3.5-plus-02-15 |
| — | Qwen: Qwen3.5 Plus 2026-04-20 | 1.0M ctx | $1.05/1M | qwen/qwen3.5-plus-20260420 |
| — | Qwen: Qwen3.5-122B-A10B | 262k ctx | $1.17/1M | qwen/qwen3.5-122b-a10b |
| — | Qwen: Qwen3.5-27B | 262k ctx | $1.43/1M | 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 | $0.21/1M | qwen/qwen3.5-9b |
| — | Qwen: Qwen3.5-Flash | 1.0M ctx | $0.16/1M | qwen/qwen3.5-flash-02-23 |
| — | Qwen: Qwen3.6 27B | 262k ctx | $1.58/1M | qwen/qwen3.6-27b |
| — | Qwen: Qwen3.6 35B A3B | 262k ctx | $0.50/1M | qwen/qwen3.6-35b-a3b |
| — | Qwen: Qwen3.6 Flash | 1.0M ctx | $0.66/1M | qwen/qwen3.6-flash |
| — | Qwen: Qwen3.6 Plus | 1.0M ctx | $1.14/1M | qwen/qwen3.6-plus |
| — | Qwen: Qwen3.7 Flash | 1.0M ctx | $0.08/1M | qwen/qwen3.7-flash |
| — | Qwen: Qwen3.7 Max | 1.0M ctx | $2.95/1M | qwen/qwen3.7-max |
| — | Qwen: Qwen3.7 Plus | 1.0M ctx | $0.80/1M | qwen/qwen3.7-plus |
| — | Qwen: Qwen3.7 Plus (batch) | 262k ctx | $0.58/1M | qwen/qwen3.7-plus:batch |
| — | Qwen: Qwen3.8 27B | 1.0M ctx | $1.01/1M | qwen/qwen3.8-27b |
| — | Qwen: Qwen3.8 Flash | 1.0M ctx | $0.31/1M | qwen/qwen3.8-flash |
| — | Qwen: Qwen3.8 Max (0902) | 1.0M ctx | $4.00/1M | qwen/qwen3.8-max-0902 |
| — | Qwen: Qwen3.8 Max Prime | 1.0M ctx | $8.00/1M | qwen/qwen3.8-max-prime |
| — | Qwen: Qwen3.8 Omni Flash | 1.0M ctx | $0.31/1M | qwen/qwen3.8-omni-flash |
| — | 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 |
| — | StepFun: Step 3.5 Flash | 262k ctx | $0.20/1M | stepfun/step-3.5-flash |
| — | StepFun: Step 3.7 Flash | 262k ctx | $0.67/1M | stepfun/step-3.7-flash |
| — | Tencent: Hunyuan A13B Instruct | 131k ctx | $0.35/1M | tencent/hunyuan-a13b-instruct |
| — | Tencent: Hy-MT2-1.8B | 8k ctx | $0.11/1M | tencent/hy-mt2-1.8b |
| — | Tencent: Hy-MT2-30B-A3B | 8k ctx | $0.18/1M | tencent/hy-mt2-30b-a3b |
| — | Tencent: Hy-MT2-7B | 8k ctx | $0.18/1M | tencent/hy-mt2-7b |
| — | Tencent: Hy3 | 262k ctx | $0.33/1M | tencent/hy3 |
| — | Tencent: Hy3 preview | 262k ctx | $0.39/1M | tencent/hy3-preview |
| — | Xiaomi: MiMo-V2.6-Pro-UltraSpeed | 1.0M ctx | $6.52/1M | xiaomi/mimo-v2.6-pro-ultraspeed |
| — | 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 | 205k ctx | $1.25/1M | 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 | 205k ctx | $1.40/1M | z-ai/glm-4.7 |
| — | Z.ai: GLM 4.7 Flash | 200k ctx | $0.23/1M | z-ai/glm-4.7-flash |
| — | Z.ai: GLM 5 | 205k ctx | $2.10/1M | z-ai/glm-5 |
| — | Z.ai: GLM 5 Turbo | 203k ctx | $2.60/1M | z-ai/glm-5-turbo |
| — | Z.ai: GLM 5.1 | 205k ctx | $2.90/1M | z-ai/glm-5.1 |
| — | Z.ai: GLM 5.2 | 1.0M ctx | $3.40/1M | z-ai/glm-5.2 |
| — | Z.ai: GLM 5.3 | 1.0M ctx | $1.84/1M | z-ai/glm-5.3 |
| — | Z.ai: GLM 5.3 (batch) | 1.0M ctx | $1.23/1M | z-ai/glm-5.3:batch |
| — | Z.ai: GLM 5.3 Flash (batch) | 1.0M ctx | $0.11/1M | z-ai/glm-5.3-flash:batch |
| — | Z.ai: GLM 5.3 FlashX | 1.0M ctx | $0.81/1M | z-ai/glm-5.3-flashx |
| — | Z.ai: GLM 5.3 FlashX Legal | 1.0M ctx | $0.81/1M | z-ai/glm-5.3-flashx-legal |
| — | Z.ai: GLM 5.3 Prime | 1.0M ctx | $5.80/1M | z-ai/glm-5.3-prime |
| — | Z.ai: GLM 5V Turbo | 203k ctx | $2.60/1M | z-ai/glm-5v-turbo |
| — | Z.ai: GLM Latest | 1.0M ctx | $0.73/1M | ~z-ai/glm-latest |