지원 모델 리스트

나에게 가장 필요한 모델을 찾아보세요.

신규 모델 추가 · 2026-09-11

290개 모델

기준 환율 · 2026-09-12 · 1 USD = ₩1,350i매일 KST 기준으로 갱신되는 기준 환율을 적용합니다.
갱신된 환율은 해당 일자 사용량부터 적용되며, 이전 사용량에는 소급 적용되지 않습니다.

정렬 기준

모델	입력 단가i카페24가 보유한 Provider 중 가장 낮은 입력 가격을 나타냅니다. 텍스트 모델은 100만 토큰(/1M)당 단가, 오디오·이미지·영상 모델은 고유 단위(초·100만 자·장)당 단가로 표시됩니다. 이미지·음성·영상을 입력받는 모델은 해당 입력이 토큰으로 환산되어 입력 단가에 포함됩니다.	출력 단가i카페24가 보유한 Provider 중 가장 낮은 출력 가격을 나타냅니다. 텍스트 모델은 100만 토큰(/1M)당 단가, 오디오·이미지·영상 모델은 고유 단위(초·100만 자·장)당 단가로 표시됩니다.	컨텍스트 길이i해당 모델을 제공하는 Provider 중 가장 낮은 컨텍스트 한도를 나타냅니다.	입력 형식i모델에 프롬프트로 전달할 수 있는 데이터 형식입니다. 텍스트 외에 이미지·영상·음성·파일을 입력받는 모델은 해당 데이터를 직접 첨부해 요청할 수 있습니다.	출력 형식i모델이 응답으로 생성하는 데이터 형식입니다. 텍스트 외에 이미지·음성·영상을 생성하거나 임베딩 벡터를 반환하는 모델을 구분할 수 있습니다.
gpt-6-astraNEW	₩13,500~/1M컨텍스트 구간별 요금≤272,000₩13,500/1M>272,000₩27,000/1M	₩67,500~/1M컨텍스트 구간별 요금≤272,000₩67,500/1M>272,000₩101,250/1M	1,050,000
gemini-3.8-flashNEW50% 할인입력 50% · 출력 50% · 캐시 읽기 50% 할인이 적용 중입니다. 할인 종료 시 기존 단가가 적용됩니다.	₩2,025₩1,013/1M	₩10,125₩5,063/1M	1,048,576
zai-org/glm-5.3NEW	₩1,890/1M	₩5,940/1M	1,048,576	-	-
zai-org/glm-4.6vNEW	₩405/1M	₩1,215/1M	131,072
zai-org/glm-4.5vNEW	₩810/1M	₩2,430/1M	65,536
zai-org/autoglm-phone-9b-multilingualNEW	₩47/1M	₩186/1M	65,536
thudm/glm-4-32b-0414NEW	₩743/1M	₩2,241/1M	32,000
Sao10K/L3-8B-Stheno-v3.2NEW	₩68/1M	₩68/1M	8,192
sao10k/l3-8b-lunarisNEW	₩68/1M	₩68/1M	8,192
sao10k/l31-70b-euryale-v2.2NEW	₩1,998/1M	₩1,998/1M	8,192
qwen/qwen-mt-plusNEW	₩338/1M	₩1,013/1M	16,384
qwen/qwen3-vl-235b-a22b-thinkingNEW	₩1,323/1M	₩5,333/1M	131,072
qwen/qwen3-omni-30b-a3b-thinkingNEW	₩338/1M	₩1,310/1M	65,536
qwen/qwen3-omni-30b-a3b-instructNEW	₩338/1M	₩1,310/1M	65,536
qwen/qwen3-coder-nextNEW	₩270/1M	₩2,025/1M	262,144
qwen/qwen3-coder-480b-a35b-instructNEW	₩513/1M	₩2,093/1M	262,144
qwen/qwen3.8-flashNEW	₩203/1M	₩635/1M	1,000,000	-	-
qwen/qwen3-235b-a22b-thinking-2507NEW	₩405/1M	₩4,050/1M	131,072
qwen/qwen3-235b-a22b-fp8NEW	₩270/1M	₩1,080/1M	40,960
qwen/qwen-2.5-72b-instructNEW	₩513/1M	₩540/1M	32,000
moonshotai/kimi-k2-instructNEW	₩770/1M	₩3,105/1M	131,072
moonshotai/kimi-k2-0905NEW	₩810/1M	₩3,375/1M	262,144
mistralai/mistral-nemoNEW	₩54/1M	₩230/1M	60,288
minimax/minimax-m2.7-highspeedNEW	₩810/1M	₩3,240/1M	204,800
minimax/minimax-m2.5-highspeedNEW	₩810/1M	₩3,240/1M	204,800
minimax/minimax-m2.1NEW	₩405/1M	₩1,620/1M	204,800
minimax/minimax-m2NEW	₩405/1M	₩1,620/1M	204,800
minimaxai/minimax-m1-80kNEW	₩743/1M	₩2,970/1M	1,000,000
mindai/macaron-v1-ventiNEW	₩1,114/1M	₩3,341/1M	1,048,576
mindai/macaron-v1-tallNEW	₩334/1M	₩1,931/1M	262,144
microsoft/wizardlm-2-8x22bNEW	₩837/1M	₩837/1M	65,535
meta-llama/llama-3.3-70b-instructNEW	₩182/1M	₩540/1M	12,288
meta-llama/llama-3.1-8b-instructNEW	₩27/1M	₩68/1M	16,384
deepseek/deepseek-v4-flash-vision-expNEW	₩594/1M	₩1,782/1M	1,048,576	-	-
deepseek/deepseek-r1-turboNEW	₩945/1M	₩3,375/1M	64,000
deepseek/deepseek-r1-distill-llama-70bNEW	₩1,080/1M	₩1,080/1M	8,192
deepseek/deepseek-r1/communityNEW	₩5,400/1M	₩5,400/1M	64,000
deepseek/deepseek-ocr-2NEW	₩41/1M	₩41/1M	8,192
baidu/ernie-4.5-vl-424b-a47bNEW	₩567/1M	₩1,688/1M	123,000
zai-org/GLM-5.3-Flash	₩203/1M	₩675/1M	1,048,576
Bria/enhance	-	₩54/장	-
Bria/erase	-	₩54/장	-
Bria/gen_fill	-	₩54/장	-
Bria/replace_background	-	₩54/장	-
ByteDance/Seedream-4.5	-	₩54/장	-
ClarityAI/creative	-	₩68/장	-
ClarityAI/crystal	-	₩68/장	-
ClarityAI/flux	-	₩270/장	-
PrunaAI/p-image-Edit	-	₩14/장	-
Qwen/Qwen-Image-Edit-Max	-	₩101/장	-
Wan-AI/Wan2.6-Image-Edit	-	₩41/장	-
Wan-AI/Wan2.7-Image-Edit	-	₩41/장	-
Audio8/Audio8-TTS-Preview-0.6b	₩6,750/1M char	-	2,048
deepseek-ai/DeepSeek-V4-Pro-0813	₩1,755/1M	₩3,510/1M	1,048,576
google/gemini-3.7-flash	₩1,013/1M	₩5,063/1M	1,048,576
inclusionAI/Ling-3.0-flash	₩81/1M	₩243/1M	131,072
meta-models/Muse-Glimmer-30B	₩405/1M	₩1,620/1M	131,072
nvidia/NVIDIA-Nemotron-3.5-Lightning	₩108/1M	₩270/1M	262,144
Qwen/Qwen3.8-2.4T-A95B	₩2,700/1M	₩8,100/1M	262,144
Qwen/Qwen3.8-27B	₩540/1M	₩4,050/1M	262,144
solar-pro470% 할인입력 70% · 출력 70% · 캐시 읽기 70% 할인이 적용 중입니다. 2026년 10월 10일 AM 9시에 종료 예정이며, 종료 후에는 기존 단가가 적용됩니다.	₩405₩122/1M	₩1,620₩486/1M	524,288
claude-opus-4-5	₩6,750/1M	₩33,750/1M	200,000
claude-opus-4-6	₩6,750/1M	₩33,750/1M	1,000,000
claude-sonnet-4-5	₩4,050/1M	₩20,250/1M	200,000
gemini-3-flash-preview	₩675/1M	₩4,050/1M	1,048,576
gemini-3.1-flash-lite-preview	₩338/1M	₩2,025/1M	1,048,576
gemini-3.1-pro-preview	₩2,700~/1M컨텍스트 구간별 요금≤200,000₩2,700/1M>200,000₩5,400/1M	₩16,200~/1M컨텍스트 구간별 요금≤200,000₩16,200/1M>200,000₩24,300/1M	1,048,576
gemini-3.5-flash-lite	₩405/1M	₩3,375/1M	1,048,576
gemini-3.6-flash	₩2,025/1M	₩10,125/1M	1,048,576
gk-4-1-fast-reasoning	₩270/1M	₩675/1M	2,000,000
gk-4-20-non-reasoning	₩2,700/1M	₩8,100/1M	1,000,000
gk-4-20-reasoning	₩1,688/1M	₩3,375/1M	1,000,000
gk-4.1-fast-non-reasoning	₩270/1M	₩675/1M	2,000,000
gk-4.3	₩1,688/1M	₩3,375/1M	1,000,000
glm-5-turbo	₩1,040~/1M컨텍스트 구간별 요금≤32,768₩1,040/1M>32,768₩1,455/1M	₩4,574~/1M컨텍스트 구간별 요금≤32,768₩4,574/1M>32,768₩5,405/1M	200,000
gpt-4.1	₩2,700/1M	₩10,800/1M	1,047,576
gpt-4o	₩3,375/1M	₩13,500/1M	128,000
gpt-5	₩1,688/1M	₩13,500/1M	267,296
gpt-5-chat	₩1,688/1M	₩13,500/1M	128,000
gpt-5-mini	₩338/1M	₩2,700/1M	267,296
gpt-5-nano	₩68/1M	₩540/1M	267,296
gpt-5.1	₩1,688/1M	₩13,500/1M	267,296
gpt-5.1-chat	₩1,688/1M	₩13,500/1M	128,000
gpt-5.2	₩2,363/1M	₩18,900/1M	267,296
gpt-5.2-chat	₩2,363/1M	₩18,900/1M	128,000
gpt-5.3-chat	₩2,363/1M	₩18,900/1M	128,000
gpt-5.3-codex	₩2,363/1M	₩18,900/1M	267,296
gpt-5.4	₩3,375~/1M컨텍스트 구간별 요금≤272,000₩3,375/1M>272,000₩6,750/1M	₩20,250~/1M컨텍스트 구간별 요금≤272,000₩20,250/1M>272,000₩30,375/1M	1,050,000
gpt-5.4-mini	₩1,013/1M	₩6,075/1M	267,296
gpt-5.4-nano	₩270/1M	₩1,688/1M	267,296
gpt-5.4-pro	₩40,500~/1M컨텍스트 구간별 요금≤272,000₩40,500/1M>272,000₩81,000/1M	₩243,000~/1M컨텍스트 구간별 요금≤272,000₩243,000/1M>272,000₩364,500/1M	1,050,000
gpt-5.5	₩6,750~/1M컨텍스트 구간별 요금≤272,000₩6,750/1M>272,000₩13,500/1M	₩40,500~/1M컨텍스트 구간별 요금≤272,000₩40,500/1M>272,000₩60,750/1M	1,050,000
gpt-5.6-luna	₩270~/1M컨텍스트 구간별 요금≤272,000₩270/1M>272,000₩540/1M	₩1,620~/1M컨텍스트 구간별 요금≤272,000₩1,620/1M>272,000₩2,430/1M	1,050,000
gpt-5.6-sol	₩6,750~/1M컨텍스트 구간별 요금≤272,000₩6,750/1M>272,000₩13,500/1M	₩40,500~/1M컨텍스트 구간별 요금≤272,000₩40,500/1M>272,000₩60,750/1M	1,050,000
gpt-5.6-terra	₩2,700~/1M컨텍스트 구간별 요금≤272,000₩2,700/1M>272,000₩5,400/1M	₩16,200~/1M컨텍스트 구간별 요금≤272,000₩16,200/1M>272,000₩24,300/1M	1,050,000
st-2.0-mini	₩135/1M	₩540/1M	-
deepseek-ai/DeepSeek-V4-Flash-0731	₩108/1M	₩243/1M	1,048,576
google/gemma-4-31B-it-Ultra	₩365/1M	₩1,026/1M	131,072
google/nano-banana-2	₩675/1M	₩81,000/1M	1,048,576
google/nano-banana-2-lite	₩338/1M	₩40,500/1M	1,048,576
google/nano-banana-pro	₩2,700/1M	₩162,000/1M	131,072
openai/gpt-oss-120b-Ultra	₩270/1M	₩1,283/1M	131,072
Qwen/Qwen3.8-Max	₩2,228/1M	₩6,684/1M	256,000
thinkingmachines/Inkling-Small	₩608/1M	₩1,620/1M	524,288
claude-opus-5	₩6,750/1M	₩33,750/1M	1,000,000
Qwen/Qwen3-ASR-0.6B	₩0.004/초	-	-
Qwen/Qwen3-ASR-1.7B	₩0.01/초	-	-
thinkingmachines/Inkling	₩1,283/1M	₩5,468/1M	524,288
moonshotai/Kimi-K3	₩3,848/1M	₩19,238/1M	1,048,576
google/gemma-4-E4B-it	₩27/1M	₩135/1M	131,072
claude-fable-5	₩13,500/1M	₩67,500/1M	1,000,000
claude-sonnet-5	₩2,700/1M	₩13,500/1M	1,000,000
tencent/Hy3	₩178/1M	₩713/1M	192,000
meituan-longcat/LongCat-2.0	₩1,013/1M	₩3,983/1M	1,048,584
solar-mini	₩203/1M	₩203/1M	32,768
solar-mini-250422	₩203/1M	₩203/1M	32,768
solar-pro2	₩203/1M	₩810/1M	65,536
solar-pro2-251215	₩203/1M	₩810/1M	65,536
solar-pro3	₩203/1M	₩810/1M	131,072
solar-pro3-260323	₩203/1M	₩810/1M	131,072
black-forest-labs/FLUX-1-Redux-dev	-	₩16/장	-
Bria/blur_background	-	₩54/장	-
Bria/erase_foreground	-	₩54/장	-
Bria/expand	-	₩54/장	-
Bria/fibo_edit	-	₩54/장	-
Bria/remove_background	-	₩24/장	-
hexgrad/Kokoro-82M	₩837/1M char	-	-
inworld-ai/realtime-tts-1.5-max	₩67,500/1M char	-	-
inworld-ai/realtime-tts-1.5-mini	₩33,750/1M char	-	-
inworld-ai/realtime-tts-2	₩47,250/1M char	-	-
Qwen/Qwen3-TTS	₩27,000/1M char	-	-
XiaomiMiMo/MiMo-V2.5-tts	₩0/1M char	-	-
moonshotai/Kimi-K2.7-Code	₩918/1M	₩4,590/1M	262,144
zai-org/GLM-5.2	₩1,013/1M	₩3,240/1M	1,048,576
MiniMaxAI/MiniMax-M2.7-Turbo	₩513/1M	₩2,295/1M	196,608
stepfun-ai/Step-3.7-Flash	₩270/1M	₩1,553/1M	262,144
google/gemma-4-12B-it	₩135/1M	₩405/1M	262,144
nvidia/Nemotron-3.5-ASR-Streaming-Multilingual-0.6b	₩0.004/초	-	-
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B	₩675/1M	₩2,970/1M	262,144
nvidia/Nemotron-Content-Safety-3.5	₩270/1M	₩270/1M	131,072
minimax-m2.7	₩338/1M	₩1,350/1M	196,608
black-forest-labs/FLUX-1.1-pro-Ultra	-	₩81/장	-
black-forest-labs/FLUX.1-dev	-	₩19/장	-
black-forest-labs/FLUX.1-Kontext-dev	-	₩14/장	-
black-forest-labs/FLUX.1-Kontext-max	-	₩108/장	-
black-forest-labs/FLUX.1-Kontext-pro	-	₩54/장	-
black-forest-labs/FLUX.1-schnell	-	₩2/장	-
black-forest-labs/FLUX.2-flex	-	₩81/장	-
black-forest-labs/FLUX.2-pro	-	₩41/장	-
ByteDance-Seed/Seed-OSS-36B-Instruct	₩284/1M	₩770/1M	262,145
deepseek/deepseek-r1	₩675/1M	₩2,943/1M	64,000
deepseek/deepseek-v3.1-terminus	₩365/1M	₩1,350/1M	131,072
deepseek/deepseek-v3.2-exp	₩365/1M	₩554/1M	163,840
fishaudio/fish-speech-1.5	₩20,250/1MB	-	-
FunAudioLLM/CosyVoice2-0.5B	₩9,653/1MB	-	-
inclusionAI/Ling-flash-2.0	₩189/1M	₩770/1M	131,072
IndexTeam/IndexTTS-2	₩9,653/1MB	-	-
minimax/minimax-m2.5	₩405/1M	₩1,620/1M	196,608
MiniMaxAI/MiniMax-M3	₩378~/1M컨텍스트 구간별 요금≤524,288₩405/1M>524,288₩810/1M	₩1,485~/1M컨텍스트 구간별 요금≤524,288₩1,620/1M>524,288₩3,240/1M	524,288
Qwen/Qwen-Image	-	₩27/장	-
Qwen/Qwen-Image-Edit	-	₩34/장	-
Qwen/Qwen2.5-7B-Instruct	₩68/1M	₩68/1M	32,768
Qwen/Qwen3-30B-A3B-Instruct-2507	₩122/1M	₩405/1M	262,144
Qwen/Qwen3-8B	₩81/1M	₩81/1M	131,073
qwen/qwen3-coder-30b-a3b-instruct	₩95/1M	₩365/1M	160,000
Qwen/Qwen3-Reranker-0.6B	₩14/1M	₩0/1M	16,384
Qwen/Qwen3-Reranker-8B	₩54/1M	₩0/1M	16,384
Qwen/Qwen3-VL-30B-A3B-Thinking	₩392/1M	₩1,350/1M	262,144
Qwen/Qwen3-VL-32B-Instruct	₩270/1M	₩810/1M	262,144
Qwen/Qwen3-VL-32B-Thinking	₩270/1M	₩2,025/1M	262,144
Qwen/Qwen3-VL-8B-Instruct	₩243/1M	₩918/1M	262,144
stepfun-ai/Step-3.5-Flash	₩135/1M	₩405/1M	65,536
tencent/Hunyuan-A13B-Instruct	₩189/1M	₩770/1M	131,072
Tongyi-MAI/Z-Image-Turbo	-	₩7/장	-
zai-org/glm-4.5-air	₩176/1M	₩1,148/1M	98,304
zai-org/glm-5v-turbo	₩1,620/1M	₩5,400/1M	204,793
glm-5.1	₩1,247~/1M컨텍스트 구간별 요금≤32,768₩1,247/1M>32,768₩1,663/1M	₩4,725~/1M컨텍스트 구간별 요금≤32,768₩4,990/1M>32,768₩5,821/1M	202,752
glm-5	₩810~/1M컨텍스트 구간별 요금≤32,768₩832/1M>32,768₩1,247/1M	₩2,808~/1M컨텍스트 구간별 요금≤32,768₩3,742/1M>32,768₩4,574/1M	202,752
zai-org/GLM-4.7-Flash	₩81/1M	₩540/1M	200,000
zai-org/GLM-4.7	₩540/1M	₩2,363/1M	202,752
zai-org/GLM-4.6	₩675/1M	₩2,700/1M	202,752
thenlper/gte-large	₩14/1M	-	512
thenlper/gte-base	₩7/1M	-	512
stabilityai/sdxl-turbo	-	₩0.27/장	-
shibing624/text2vec-base-chinese	₩7/1M	-	512
sesame/csm-1b	₩9,450/1M char	-	-
sentence-transformers/paraphrase-MiniLM-L6-v2	₩7/1M	-	512
sentence-transformers/multi-qa-mpnet-base-dot-v1	₩7/1M	-	512
sentence-transformers/clip-ViT-B-32-multilingual-v1	₩7/1M	-	512
sentence-transformers/clip-ViT-B-32	₩7/1M	-	77
sentence-transformers/all-mpnet-base-v2	₩7/1M	-	512
sentence-transformers/all-MiniLM-L6-v2	₩7/1M	-	512
openai/whisper-large-v3-turbo	₩0.004/초	-	-
openai/whisper-large-v3	₩0.01/초	-	-
openai/gpt-oss-20b	₩41/1M	₩189/1M	98,304
openai/gpt-oss-120b-Turbo	₩203/1M	₩810/1M	131,072
openai/gpt-oss-120b	₩50/1M	₩230/1M	131,072
nvidia/llama-nemotron-embed-vl-1b-v2	₩14/1M	-	10,240
nvidia/Nemotron-3-Nano-30B-A3B	₩68/1M	₩270/1M	262,144
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B	₩115/1M	₩540/1M	262,144
kimi-k2.6	₩1,013/1M	₩4,590/1M	262,144
kimi-k2.5	₩608/1M	₩3,038/1M	262,144
mistralai/Voxtral-Small-24B-2507	₩0.068/초	-	-
mistralai/Voxtral-Mini-3B-2507	₩0.023/초	-	-
mistralai/Mistral-Small-3.2-24B-Instruct-2506	₩101/1M	₩270/1M	128,000
mistralai/Mistral-Small-24B-Instruct-2501	₩68/1M	₩108/1M	32,768
mistralai/Mistral-Nemo-Instruct-2407	₩26/1M	₩41/1M	131,072
microsoft/phi-4	₩95/1M	₩189/1M	16,384
meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo	₩27/1M	₩54/1M	131,072
meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo	₩540/1M	₩540/1M	131,072
meta-llama/Llama-Guard-4-12B	₩243/1M	₩243/1M	163,840
meta-llama/Llama-4-Scout-17B-16E-Instruct	₩135/1M	₩405/1M	131,072
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8	₩270/1M	₩1,080/1M	1,048,576
meta-llama/Llama-3.3-70B-Instruct-Turbo	₩135/1M	₩432/1M	131,072
intfloat/multilingual-e5-large-instruct	₩14/1M	-	512
intfloat/multilingual-e5-large	₩14/1M	-	512
intfloat/e5-large-v2	₩14/1M	-	512
intfloat/e5-base-v2	₩7/1M	-	512
google/gemma-4-31B-it-turbo	₩122/1M	₩459/1M	262,144
google/gemma-4-31B-it	₩176/1M	₩513/1M	262,144
google/gemma-4-26B-A4B-it	₩95/1M	₩459/1M	262,144
google/gemma-3-4b-it	₩68/1M	₩135/1M	131,072
google/gemma-3-27b-it	₩108/1M	₩216/1M	98,304
google/gemma-3-12b-it	₩68/1M	₩203/1M	131,072
gemini-3.5-flash	₩2,025/1M	₩12,150/1M	1,000,000
google/gemini-3.1-pro	₩2,700/1M	₩16,200/1M	1,000,000
gemini-3.1-flash-lite	₩338/1M	₩2,025/1M	1,000,000
google/gemini-3-pro-image	₩2,700/1M	₩162,000/1M	131,072
gemini-2.5-pro	₩1,688~/1M컨텍스트 구간별 요금≤200,000₩1,688/1M>200,000₩3,375/1M	₩13,500~/1M컨텍스트 구간별 요금≤200,000₩13,500/1M>200,000₩20,250/1M	1,000,000
gemini-2.5-flash	₩405/1M	₩3,375/1M	1,000,000
google/embeddinggemma-300m	₩3/1M	-	2,048
deepseek-v4-pro	₩1,755/1M	₩3,510/1M	1,048,565
deepseek-v4-flash	₩122/1M	₩243/1M	1,048,565
deepseek-v3.2	₩351/1M	₩513/1M	163,840
deepseek-ai/DeepSeek-V3.1	₩338/1M	₩1,283/1M	131,072
deepseek-ai/DeepSeek-V3-0324	₩324/1M	₩1,215/1M	163,840
deepseek-ai/DeepSeek-V3	₩338/1M	₩1,202/1M	64,000
deepseek-ai/DeepSeek-R1-0528	₩675/1M	₩2,903/1M	163,840
black-forest-labs/FLUX-1.1-pro	-	₩54/장	-
black-forest-labs/FLUX-1-schnell	-	₩0.675/장	-
black-forest-labs/FLUX-1-dev	-	₩12/장	-
claude-sonnet-4-6	₩4,050/1M	₩20,250/1M	1,000,000
claude-opus-4-8	₩6,750/1M	₩33,750/1M	1,000,000
claude-opus-4-7	₩6,750/1M	₩33,750/1M	1,000,000
claude-haiku-4-5	₩1,350/1M	₩6,750/1M	200,000
XiaomiMiMo/MiMo-V2.5-tts-voicedesign	₩0/1M char	-	-
XiaomiMiMo/MiMo-V2.5-Pro	₩705/1M	₩1,409/1M	1,048,576
XiaomiMiMo/MiMo-V2.5	₩227/1M	₩454/1M	262,144
Sao10K/L3.1-70B-Euryale-v2.2	₩1,148/1M	₩1,148/1M	131,072
Sao10K/L3-8B-Lunaris-v1-Turbo	₩54/1M	₩68/1M	8,192
ResembleAI/chatterbox-turbo	₩1,350/1M char	-	-
ResembleAI/chatterbox-multilingual	₩1,350/1M char	-	-
Qwen/Qwen3.7-Max	₩1,688~/1M컨텍스트 구간별 요금≤32,000₩3,375/1M>32,000₩6,750/1M>128,000₩8,438/1M	₩5,063~/1M컨텍스트 구간별 요금≤32,000₩10,125/1M>32,000₩20,250/1M>128,000₩24,975/1M	256,000
Qwen/Qwen3.6-35B-A3B	₩135/1M	₩1,283/1M	262,144
Qwen/Qwen3.6-27B	₩405/1M	₩4,320/1M	262,144
Qwen/Qwen3.5-9B	₩135/1M	₩203/1M	262,144
Qwen/Qwen3.5-397B-A17B	₩527/1M	₩3,159/1M	262,144
Qwen/Qwen3.5-35B-A3B	₩189/1M	₩1,350/1M	262,144
Qwen/Qwen3.5-27B	₩338/1M	₩2,700/1M	262,144
Qwen/Qwen3.5-122B-A10B	₩351/1M	₩2,808/1M	262,144
Qwen/Qwen3-VL-30B-A3B-Instruct	₩203/1M	₩810/1M	131,072
Qwen/Qwen3-VL-235B-A22B-Instruct	₩270/1M	₩1,188/1M	131,072
Qwen/Qwen3-TTS-VoiceDesign	₩27,000/1M char	-	-
Qwen/Qwen3-Next-80B-A3B-Instruct	₩122/1M	₩1,485/1M	131,072
Qwen/Qwen3-Max-Thinking	₩1,620~/1M컨텍스트 구간별 요금≤32,000₩1,620/1M>32,000₩3,240/1M>128,000₩4,050/1M	₩8,100~/1M컨텍스트 구간별 요금≤32,000₩8,100/1M>32,000₩16,200/1M>128,000₩20,250/1M	256,000
Qwen/Qwen3-Max	₩1,141~/1M컨텍스트 구간별 요금≤32,768₩1,141/1M>32,768₩1,890/1M>131,072₩2,849/1M	₩4,563~/1M컨텍스트 구간별 요금≤32,768₩4,563/1M>32,768₩7,614/1M>131,072₩11,408/1M	256,000
Qwen/Qwen3-Embedding-8B	₩14/1M	-	32,768
Qwen/Qwen3-Embedding-4B	₩27/1M	-	32,768
Qwen/Qwen3-Embedding-0.6B	₩14/1M	-	32,768
Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo	₩405/1M	₩1,350/1M	262,144
Qwen/Qwen3-32B	₩108/1M	₩378/1M	40,960
Qwen/Qwen3-30B-A3B	₩162/1M	₩675/1M	40,960
Qwen/Qwen3-235B-A22B-Instruct-2507	₩122/1M	₩743/1M	131,072
Qwen/Qwen3-14B	₩95/1M	₩324/1M	40,960
Qwen/Qwen2.5-72B-Instruct	₩486/1M	₩540/1M	32,768
NousResearch/Hermes-3-Llama-3.1-70B	₩945/1M	₩945/1M	131,072
NousResearch/Hermes-3-Llama-3.1-405B	₩1,350/1M	₩1,350/1M	131,072
Gryphe/MythoMax-L2-13b	₩540/1M	₩540/1M	4,096
ByteDance/Seedream-4	-	₩54/장	-
ByteDance/Seed-2.0-pro	₩675~/1M컨텍스트 구간별 요금≤128,000₩675/1M>128,000₩1,350/1M	₩4,050~/1M컨텍스트 구간별 요금≤128,000₩4,050/1M>128,000₩8,100/1M	256,000
ByteDance/Seed-2.0-mini	₩135~/1M컨텍스트 구간별 요금≤128,000₩135/1M>128,000₩270/1M	₩540~/1M컨텍스트 구간별 요금≤128,000₩540/1M>128,000₩1,080/1M	256,000
ByteDance/Seed-2.0-code	₩675~/1M컨텍스트 구간별 요금≤128,000₩675/1M>128,000₩1,350/1M	₩4,050~/1M컨텍스트 구간별 요금≤128,000₩4,050/1M>128,000₩8,100/1M	256,000
ByteDance/Seed-1.8	₩338~/1M컨텍스트 구간별 요금≤128,000₩338/1M>128,000₩675/1M	₩2,700~/1M컨텍스트 구간별 요금≤128,000₩2,700/1M>128,000₩5,400/1M	256,000
Bria/fibo	-	₩54/장	-
Bria/Bria-3.2-vector	-	₩54/장	-
BAAI/bge-m3-multi	₩14/1M	-	8,192
BAAI/bge-m3	₩14/1M	-	8,192
BAAI/bge-large-en-v1.5	₩14/1M	-	512
BAAI/bge-en-icl	₩14/1M	-	8,192
BAAI/bge-base-en-v1.5	₩7/1M	₩0/1M	512