AI Hippo

Last updated:

Model Β· Origin

πŸ‡¨πŸ‡³ China

Ranked models from this origin, plus additional catalog entries not currently ranked.

Board snapshot:

Models from this origin

# Name Type Key metric 1M tokens (avg)
7 Qwen: Qwen3 Coder 480B A35B (free) LLM 1.0M ctx $0.00
8 DeepSeek: DeepSeek V4 Flash LLM 1.0M ctx $0.15
9 Xiaomi: MiMo-V2.5 Multimodal 1.0M ctx $0.21
10 MiniMax: MiniMax M3 Multimodal 1.0M ctx $0.75
18 MoonshotAI: Kimi K2.6 (free) Multimodal 262k ctx $0.00
19 inclusionAI: Ling-2.6-flash LLM 262k ctx $0.02
20 Tencent: Hy3 preview LLM 262k ctx $0.14
22 ByteDance Seed: Seed 1.6 Flash Multimodal 262k ctx $0.19
23 StepFun: Step 3.5 Flash LLM 262k ctx $0.20
26 MoonshotAI Kimi Latest Multimodal 262k ctx $2.05
27 Kwaipilot: KAT-Coder-Pro V2 LLM 256k ctx $0.75
31 Z.ai: GLM 4.7 Flash LLM 203k ctx $0.23
37 Baidu: ERNIE 4.5 VL 28B A3B Multimodal 131k ctx $0.35
44 ByteDance: UI-TARS 7B Multimodal 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 Multimodal 1.0M ctx $0.65
84 Qwen: Qwen3.5-Flash Multimodal 1.0M ctx $0.16
86 Qwen: Qwen Plus 0728 (thinking) LLM 1.0M ctx $0.52
87 Qwen: Qwen Plus 0728 LLM 1.0M ctx $0.52
88 Qwen: Qwen-Plus LLM 1.0M ctx $0.52
89 Qwen: Qwen3 Coder Flash LLM 1.0M ctx $0.58
90 Qwen: Qwen3.6 Flash Multimodal 1.0M ctx $0.66
91 Qwen: Qwen3.5 Plus 2026-02-15 Multimodal 1.0M ctx $0.91
92 Qwen: Qwen3.7 Plus Multimodal 1.0M ctx $1.00
93 Qwen: Qwen3.5 Plus 2026-04-20 Multimodal 1.0M ctx $1.05
94 Qwen: Qwen3.6 Plus Multimodal 1.0M ctx $1.14
95 MiniMax: MiniMax M1 LLM 1.0M ctx $1.30
97 Qwen: Qwen3 Coder Plus LLM 1.0M ctx $1.95
98 Qwen: Qwen3.7 Max LLM 1.0M ctx $2.50

Catalog models (not in ranking)

Rank Name Key metric Price Notes
β€” Baidu: ERNIE 4.5 VL 424B A47B 131k ctx $0.83/1M baidu/ernie-4.5-vl-424b-a47b
β€” ByteDance Seed: Seed 1.6 262k ctx $1.13/1M bytedance-seed/seed-1.6
β€” ByteDance Seed: Seed-2.0-Lite 262k ctx $1.13/1M bytedance-seed/seed-2.0-lite
β€” ByteDance Seed: Seed-2.0-Mini 262k ctx $0.25/1M bytedance-seed/seed-2.0-mini
β€” DeepSeek: DeepSeek V3 131k ctx $0.50/1M deepseek/deepseek-chat
β€” DeepSeek: DeepSeek V3 0324 164k ctx $0.48/1M deepseek/deepseek-chat-v3-0324
β€” DeepSeek: DeepSeek V3.1 164k ctx $0.50/1M deepseek/deepseek-chat-v3.1
β€” DeepSeek: DeepSeek V3.1 Terminus 164k ctx $0.61/1M deepseek/deepseek-v3.1-terminus
β€” DeepSeek: DeepSeek V3.2 131k ctx $0.29/1M deepseek/deepseek-v3.2
β€” DeepSeek: DeepSeek V3.2 Exp 164k ctx $0.34/1M deepseek/deepseek-v3.2-exp
β€” DeepSeek: R1 164k ctx $1.60/1M deepseek/deepseek-r1
β€” DeepSeek: R1 0528 164k ctx $1.32/1M deepseek/deepseek-r1-0528
β€” DeepSeek: R1 Distill Llama 70B 131k ctx $0.75/1M deepseek/deepseek-r1-distill-llama-70b
β€” DeepSeek: R1 Distill Qwen 32B 128k ctx $0.29/1M deepseek/deepseek-r1-distill-qwen-32b
β€” inclusionAI: Ling-2.6-1T 262k ctx $0.35/1M inclusionai/ling-2.6-1t
β€” inclusionAI: Ring-2.6-1T 262k ctx $0.35/1M inclusionai/ring-2.6-1t
β€” MiniMax: MiniMax M2 205k ctx $0.63/1M minimax/minimax-m2
β€” MiniMax: MiniMax M2-her 66k ctx $0.75/1M minimax/minimax-m2-her
β€” MiniMax: MiniMax M2.1 205k ctx $0.62/1M minimax/minimax-m2.1
β€” MiniMax: MiniMax M2.5 205k ctx $0.65/1M minimax/minimax-m2.5
β€” MiniMax: MiniMax M2.7 205k ctx $0.74/1M minimax/minimax-m2.7
β€” MoonshotAI: Kimi K2 0711 131k ctx $1.43/1M moonshotai/kimi-k2
β€” MoonshotAI: Kimi K2 0905 262k ctx $1.55/1M moonshotai/kimi-k2-0905
β€” MoonshotAI: Kimi K2 Thinking 262k ctx $1.55/1M moonshotai/kimi-k2-thinking
β€” MoonshotAI: Kimi K2.5 262k ctx $1.15/1M moonshotai/kimi-k2.5
β€” MoonshotAI: Kimi K2.6 262k ctx $2.05/1M moonshotai/kimi-k2.6
β€” Qwen: Qwen2.5 7B Instruct 131k ctx $0.07/1M qwen/qwen-2.5-7b-instruct
β€” Qwen: Qwen2.5 VL 72B Instruct 131k ctx $0.50/1M qwen/qwen2.5-vl-72b-instruct
β€” Qwen: Qwen3 14B 132k ctx $0.17/1M qwen/qwen3-14b
β€” Qwen: Qwen3 235B A22B 131k ctx $1.14/1M qwen/qwen3-235b-a22b
β€” Qwen: Qwen3 235B A22B Instruct 2507 262k ctx $0.09/1M qwen/qwen3-235b-a22b-2507
β€” Qwen: Qwen3 235B A22B Thinking 2507 262k ctx $0.10/1M qwen/qwen3-235b-a22b-thinking-2507
β€” Qwen: Qwen3 30B A3B 131k ctx $0.27/1M qwen/qwen3-30b-a3b
β€” Qwen: Qwen3 30B A3B Instruct 2507 131k ctx $0.12/1M qwen/qwen3-30b-a3b-instruct-2507
β€” Qwen: Qwen3 30B A3B Thinking 2507 131k ctx $0.24/1M qwen/qwen3-30b-a3b-thinking-2507
β€” Qwen: Qwen3 32B 131k ctx $0.18/1M qwen/qwen3-32b
β€” Qwen: Qwen3 8B 131k ctx $0.23/1M qwen/qwen3-8b
β€” Qwen: Qwen3 Coder 30B A3B Instruct 160k ctx $0.17/1M qwen/qwen3-coder-30b-a3b-instruct
β€” Qwen: Qwen3 Coder Next 262k ctx $0.46/1M qwen/qwen3-coder-next
β€” Qwen: Qwen3 Max 262k ctx $2.34/1M qwen/qwen3-max
β€” Qwen: Qwen3 Max Thinking 262k ctx $2.34/1M qwen/qwen3-max-thinking
β€” Qwen: Qwen3 Next 80B A3B Instruct 262k ctx $0.60/1M qwen/qwen3-next-80b-a3b-instruct
β€” Qwen: Qwen3 Next 80B A3B Instruct (free) 262k ctx β€” qwen/qwen3-next-80b-a3b-instruct:free
β€” Qwen: Qwen3 Next 80B A3B Thinking 262k ctx $0.44/1M qwen/qwen3-next-80b-a3b-thinking
β€” Qwen: Qwen3 VL 235B A22B Instruct 262k ctx $0.54/1M qwen/qwen3-vl-235b-a22b-instruct
β€” Qwen: Qwen3 VL 235B A22B Thinking 131k ctx $1.43/1M qwen/qwen3-vl-235b-a22b-thinking
β€” Qwen: Qwen3 VL 30B A3B Instruct 262k ctx $0.33/1M qwen/qwen3-vl-30b-a3b-instruct
β€” Qwen: Qwen3 VL 30B A3B Thinking 131k ctx $0.84/1M qwen/qwen3-vl-30b-a3b-thinking
β€” Qwen: Qwen3 VL 32B Instruct 262k ctx $0.26/1M qwen/qwen3-vl-32b-instruct
β€” Qwen: Qwen3 VL 8B Instruct 256k ctx $0.29/1M qwen/qwen3-vl-8b-instruct
β€” Qwen: Qwen3 VL 8B Thinking 256k ctx $0.74/1M qwen/qwen3-vl-8b-thinking
β€” Qwen: Qwen3.5 397B A17B 262k ctx $1.36/1M qwen/qwen3.5-397b-a17b
β€” Qwen: Qwen3.5-122B-A10B 262k ctx $1.17/1M qwen/qwen3.5-122b-a10b
β€” Qwen: Qwen3.5-27B 262k ctx $0.88/1M qwen/qwen3.5-27b
β€” Qwen: Qwen3.5-35B-A3B 262k ctx $0.57/1M qwen/qwen3.5-35b-a3b
β€” Qwen: Qwen3.5-9B 262k ctx $0.10/1M qwen/qwen3.5-9b
β€” Qwen: Qwen3.6 27B 262k ctx $1.75/1M qwen/qwen3.6-27b
β€” Qwen: Qwen3.6 35B A3B 262k ctx $0.57/1M qwen/qwen3.6-35b-a3b
β€” Qwen: Qwen3.6 Max Preview 262k ctx $3.64/1M qwen/qwen3.6-max-preview
β€” Qwen2.5 72B Instruct 131k ctx $0.38/1M qwen/qwen-2.5-72b-instruct
β€” Qwen2.5 Coder 32B Instruct 128k ctx $0.83/1M qwen/qwen-2.5-coder-32b-instruct
β€” StepFun: Step 3.7 Flash 256k ctx $0.67/1M stepfun/step-3.7-flash
β€” Tencent: Hunyuan A13B Instruct 131k ctx $0.35/1M tencent/hunyuan-a13b-instruct
β€” Xiaomi: MiMo-V2-Flash 262k ctx $0.20/1M xiaomi/mimo-v2-flash
β€” Z.ai: GLM 4 32B 128k ctx $0.10/1M z-ai/glm-4-32b
β€” Z.ai: GLM 4.5 131k ctx $1.40/1M z-ai/glm-4.5
β€” Z.ai: GLM 4.5 Air 131k ctx $0.49/1M z-ai/glm-4.5-air
β€” Z.ai: GLM 4.5 Air (free) 131k ctx β€” z-ai/glm-4.5-air:free
β€” Z.ai: GLM 4.5V 66k ctx $1.20/1M z-ai/glm-4.5v
β€” Z.ai: GLM 4.6 203k ctx $1.08/1M z-ai/glm-4.6
β€” Z.ai: GLM 4.6V 131k ctx $0.60/1M z-ai/glm-4.6v
β€” Z.ai: GLM 4.7 203k ctx $1.07/1M z-ai/glm-4.7
β€” Z.ai: GLM 5 203k ctx $1.26/1M z-ai/glm-5
β€” Z.ai: GLM 5 Turbo 203k ctx $2.60/1M z-ai/glm-5-turbo
β€” Z.ai: GLM 5.1 203k ctx $2.03/1M z-ai/glm-5.1
β€” Z.ai: GLM 5V Turbo 203k ctx $2.60/1M z-ai/glm-5v-turbo

← Back to all origins