| meta-llama/Meta-Llama-3.1-8B-Instruct | deepinfra | ₩30 | ₩75 | 활성 |
| meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo | deepinfra | ₩30 | ₩45 | 활성 |
| mistralai/Mistral-Nemo-Instruct-2407 | deepinfra | ₩30 | ₩60 | 활성 |
| openai/gpt-oss-20b | deepinfra | ₩45 | ₩210 | 활성 |
| openai/gpt-oss-120b | deepinfra | ₩59 | ₩255 | 활성 |
| Sao10K/L3-8B-Lunaris-v1-Turbo | deepinfra | ₩60 | ₩75 | 활성 |
| openai/gpt-oss-20b | siliconflow | ₩60 | ₩270 | 활성 |
| google/gemma-3-12b-it | deepinfra | ₩75 | ₩225 | 활성 |
| google/gemma-3-4b-it | deepinfra | ₩75 | ₩150 | 활성 |
| mistralai/Mistral-Small-24B-Instruct-2501 | deepinfra | ₩75 | ₩120 | 활성 |
| nvidia/Nemotron-3-Nano-30B-A3B | deepinfra | ₩75 | ₩300 | 활성 |
| Qwen/Qwen2.5-7B-Instruct | siliconflow | ₩75 | ₩75 | 활성 |
| openai/gpt-oss-120b | siliconflow | ₩75 | ₩675 | 활성 |
| zai-org/GLM-4.7-Flash | deepinfra | ₩90 | ₩600 | 활성 |
| Qwen/Qwen3-8B | siliconflow | ₩90 | ₩90 | 활성 |
| tencent/Hy3-preview | siliconflow | ₩99 | ₩390 | 활성 |
| google/gemma-4-26B-A4B-it | deepinfra | ₩105 | ₩510 | 활성 |
| microsoft/phi-4 | deepinfra | ₩105 | ₩210 | 활성 |
| Qwen/Qwen3-14B | siliconflow | ₩105 | ₩420 | 활성 |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | siliconflow | ₩105 | ₩420 | 활성 |
| mistralai/Mistral-Small-3.2-24B-Instruct-2506 | deepinfra | ₩113 | ₩300 | 활성 |
| Qwen/Qwen3-32B | deepinfra | ₩120 | ₩420 | 활성 |
| google/gemma-3-27b-it | deepinfra | ₩120 | ₩240 | 활성 |
| nvidia/NVIDIA-Nemotron-3-Super-120B-A12B | deepinfra | ₩128 | ₩600 | 활성 |
| Qwen/Qwen3-235B-A22B-Instruct-2507 | deepinfra | ₩135 | ₩825 | 활성 |
| Qwen/Qwen3-Next-80B-A3B-Instruct | deepinfra | ₩135 | ₩1,650 | 활성 |
| deepseek-ai/DeepSeek-V4-Flash | deepinfra | ₩135 | ₩270 | 활성 |
| stepfun-ai/Step-3.5-Flash | deepinfra | ₩135 | ₩450 | 활성 |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | siliconflow | ₩135 | ₩450 | 활성 |
| Qwen/Qwen3.5-9B | deepinfra | ₩150 | ₩225 | 활성 |
| meta-llama/Llama-3.3-70B-Instruct-Turbo | deepinfra | ₩150 | ₩480 | 활성 |
| meta-llama/Llama-4-Scout-17B-16E-Instruct | deepinfra | ₩150 | ₩450 | 활성 |
| Qwen/Qwen3.5-9B | siliconflow | ₩150 | ₩225 | 활성 |
| Qwen/Qwen3-30B-A3B | deepinfra | ₩180 | ₩750 | 활성 |
| google/gemma-4-31B-it-turbo | deepinfra | ₩180 | ₩555 | 활성 |
| google/gemma-4-26B-A4B-it | siliconflow | ₩180 | ₩600 | 활성 |
| google/gemma-4-31B-it | deepinfra | ₩195 | ₩570 | 활성 |
| google/gemma-4-31B-it | siliconflow | ₩195 | ₩600 | 활성 |
| Qwen/Qwen3.5-35B-A3B | deepinfra | ₩210 | ₩1,500 | 활성 |
| tencent/Hy3 | deepinfra | ₩210 | ₩870 | 활성 |
| Qwen/Qwen3-32B | siliconflow | ₩210 | ₩855 | 활성 |
| deepseek-ai/DeepSeek-V4-Flash | siliconflow | ₩210 | ₩420 | 활성 |
| inclusionAI/Ling-flash-2.0 | siliconflow | ₩210 | ₩855 | 활성 |
| tencent/Hunyuan-A13B-Instruct | siliconflow | ₩210 | ₩855 | 활성 |
| zai-org/GLM-4.5-Air | siliconflow | ₩210 | ₩1,290 | 활성 |
| MiniMaxAI/MiniMax-M2.5 | deepinfra | ₩225 | ₩1,725 | 활성 |
| Qwen/Qwen3-VL-30B-A3B-Instruct | deepinfra | ₩225 | ₩900 | 활성 |
| Qwen/Qwen3.6-35B-A3B | deepinfra | ₩225 | ₩1,425 | 활성 |
| openai/gpt-oss-120b-Turbo | deepinfra | ₩225 | ₩900 | 활성 |
| solar-pro2 | upstage | ₩225 | ₩900 | 활성 |
| solar-pro3 | upstage | ₩225 | ₩900 | 활성 |
| meta-llama/Llama-Guard-4-12B | deepinfra | ₩270 | ₩270 | 활성 |
| Qwen/Qwen3-VL-8B-Instruct | siliconflow | ₩270 | ₩1,020 | 활성 |
| Qwen/Qwen3-VL-235B-A22B-Instruct | deepinfra | ₩300 | ₩1,320 | 활성 |
| meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 | deepinfra | ₩300 | ₩1,200 | 활성 |
| nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning | deepinfra | ₩300 | ₩1,200 | 활성 |
| nvidia/Nemotron-Content-Safety-3.5 | deepinfra | ₩300 | ₩300 | 활성 |
| Qwen/Qwen3-VL-32B-Instruct | siliconflow | ₩300 | ₩900 | 활성 |
| Qwen/Qwen3-VL-32B-Thinking | siliconflow | ₩300 | ₩2,250 | 활성 |
| Qwen/Qwen3.6-35B-A3B | siliconflow | ₩300 | ₩2,400 | 활성 |
| deepseek-ai/DeepSeek-V3.1 | deepinfra | ₩315 | ₩1,185 | 활성 |
| ByteDance-Seed/Seed-OSS-36B-Instruct | siliconflow | ₩315 | ₩855 | 활성 |
| Qwen/Qwen3-235B-A22B-Thinking-2507 | deepinfra | ₩345 | ₩3,450 | 활성 |
| deepseek-ai/DeepSeek-V3-0324 | deepinfra | ₩360 | ₩1,350 | 활성 |
| Qwen/Qwen3.5-35B-A3B | siliconflow | ₩360 | ₩2,700 | 활성 |
| MiniMaxAI/MiniMax-M2.7 | deepinfra | ₩375 | ₩1,500 | 활성 |
| google/gemini-3.1-flash-lite | deepinfra | ₩375 | ₩2,250 | 활성 |
| Qwen/Qwen3.5-27B | siliconflow | ₩375 | ₩3,000 | 활성 |
| deepseek-ai/DeepSeek-V3 | siliconflow | ₩375 | ₩1,500 | 활성 |
| Qwen/Qwen3.5-27B | deepinfra | ₩390 | ₩3,900 | 활성 |
| deepseek-ai/DeepSeek-V3.2 | deepinfra | ₩390 | ₩570 | 활성 |
| Qwen/Qwen3.5-122B-A10B | siliconflow | ₩390 | ₩3,120 | 활성 |
| deepseek-ai/DeepSeek-V3.1-Terminus | deepinfra | ₩405 | ₩1,425 | 활성 |
| deepseek-ai/DeepSeek-V3.1 | siliconflow | ₩405 | ₩1,500 | 활성 |
| deepseek-ai/DeepSeek-V3.1-Terminus | siliconflow | ₩405 | ₩1,500 | 활성 |
| deepseek-ai/DeepSeek-V3.2 | siliconflow | ₩405 | ₩630 | 활성 |
| deepseek-ai/DeepSeek-V3.2-Exp | siliconflow | ₩405 | ₩615 | 활성 |
| Qwen/Qwen3-VL-30B-A3B-Instruct | siliconflow | ₩435 | ₩1,500 | 활성 |
| Qwen/Qwen3-VL-30B-A3B-Thinking | siliconflow | ₩435 | ₩1,500 | 활성 |
| MiniMaxAI/MiniMax-M3 | deepinfra | ₩450 | ₩1,800 | 활성 |
| Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo | deepinfra | ₩450 | ₩1,500 | 활성 |
| google/gemini-2.5-flash | deepinfra | ₩450 | ₩3,750 | 활성 |
| MiniMaxAI/MiniMax-M2.5 | siliconflow | ₩450 | ₩1,800 | 활성 |
| Qwen/Qwen3.6-27B | siliconflow | ₩450 | ₩4,800 | 활성 |
| Qwen/Qwen3.6-27B | deepinfra | ₩480 | ₩4,800 | 활성 |
| deepseek-ai/DeepSeek-V3 | deepinfra | ₩480 | ₩1,335 | 활성 |
| meta-llama/Llama-3.2-11B-Vision-Instruct | deepinfra | ₩518 | ₩518 | 활성 |
| Qwen/Qwen2.5-72B-Instruct | deepinfra | ₩540 | ₩600 | 활성 |
| Qwen/Qwen3.5-397B-A17B | siliconflow | ₩585 | ₩3,510 | 활성 |
| Gryphe/MythoMax-L2-13b | deepinfra | ₩600 | ₩600 | 활성 |
| MiniMaxAI/MiniMax-M2.7-Turbo | deepinfra | ₩600 | ₩3,000 | 활성 |
| XiaomiMiMo/MiMo-V2.5 | deepinfra | ₩600 | ₩3,000 | 활성 |
| meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | deepinfra | ₩600 | ₩600 | 활성 |
| nvidia/Llama-3.3-Nemotron-Super-49B-v1.5 | deepinfra | ₩600 | ₩600 | 활성 |
| zai-org/GLM-4.7 | deepinfra | ₩600 | ₩2,625 | 활성 |
| Qwen/Qwen3.5-397B-A17B | deepinfra | ₩675 | ₩4,500 | 활성 |
| moonshotai/Kimi-K2.5 | deepinfra | ₩675 | ₩3,375 | 활성 |
| deepseek-ai/DeepSeek-R1-0528 | deepinfra | ₩750 | ₩3,225 | 활성 |
| zai-org/GLM-4.6 | deepinfra | ₩750 | ₩3,000 | 활성 |
| deepseek-ai/DeepSeek-R1 | siliconflow | ₩750 | ₩3,270 | 활성 |
| Qwen/Qwen2.5-72B-Instruct | siliconflow | ₩885 | ₩885 | 활성 |
| zai-org/GLM-5 | deepinfra | ₩900 | ₩3,120 | 활성 |
| NousResearch/Hermes-3-Llama-3.1-70B | deepinfra | ₩1,050 | ₩1,050 | 활성 |
| moonshotai/Kimi-K2.7-Code | deepinfra | ₩1,110 | ₩5,250 | 활성 |
| moonshotai/Kimi-K2.6 | deepinfra | ₩1,125 | ₩5,250 | 활성 |
| meituan-longcat/LongCat-2.0 | siliconflow | ₩1,125 | ₩4,425 | 활성 |
| Sao10K/L3.1-70B-Euryale-v2.2 | deepinfra | ₩1,275 | ₩1,275 | 활성 |
| zai-org/GLM-5.2 | deepinfra | ₩1,395 | ₩4,500 | 활성 |
| moonshotai/Kimi-K2.6 | siliconflow | ₩1,425 | ₩6,000 | 활성 |
| NousResearch/Hermes-3-Llama-3.1-405B | deepinfra | ₩1,500 | ₩1,500 | 활성 |
| XiaomiMiMo/MiMo-V2.5-Pro | deepinfra | ₩1,500 | ₩4,500 | 활성 |
| anthropic/claude-haiku-4-5 | deepinfra | ₩1,500 | ₩7,500 | 활성 |
| zai-org/GLM-5.1 | deepinfra | ₩1,575 | ₩5,250 | 활성 |
| zai-org/GLM-5V-Turbo | siliconflow | ₩1,800 | ₩6,000 | 활성 |
| deepseek-ai/DeepSeek-V4-Pro | deepinfra | ₩1,950 | ₩3,900 | 활성 |
| zai-org/GLM-5.1 | siliconflow | ₩2,100 | ₩6,600 | 활성 |
| google/gemini-3.5-flash | deepinfra | ₩2,250 | ₩13,500 | 활성 |
| deepseek-ai/DeepSeek-V4-Pro | siliconflow | ₩2,610 | ₩5,220 | 활성 |
| anthropic/claude-sonnet-5 | deepinfra | ₩3,000 | ₩15,000 | 활성 |
| google/gemini-3.1-pro | deepinfra | ₩3,000 | ₩18,000 | 활성 |
| anthropic/claude-sonnet-4-6 | deepinfra | ₩4,500 | ₩22,500 | 활성 |
| anthropic/claude-opus-4-7 | deepinfra | ₩7,500 | ₩37,500 | 활성 |
| anthropic/claude-opus-4-8 | deepinfra | ₩7,500 | ₩37,500 | 활성 |
| anthropic/claude-fable-5 | deepinfra | ₩15,000 | ₩75,000 | 활성 |