모델

현존 최고 수준의 중국 모델. 장문 컨텍스트(1.3M)와 에이전트 작업에 강합니다.

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

구글 제미나이 플래시. 속도와 비용의 균형이 좋은 범용 모델. 100만 토큰 컨텍스트.

OpenAI 최신 범용 모델. 복잡한 지시·긴 문맥·도구 호출에 가장 안정적입니다.

품질과 비용의 균형점. 코딩 에이전트와 한국어 글쓰기에 두루 좋습니다.

구글 제미나이 플래시. 속도와 비용의 균형이 좋은 범용 모델. 100만 토큰 컨텍스트. 프리뷰 — 예고 없이 바뀔 수 있다.

구글 제미나이 플래시 라이트. 가장 싼 구글 모델. 대량 분류·요약에 맞다. 100만 토큰 컨텍스트.

구글 제미나이 프로. 구글의 상위 추론 모델. 100만 토큰 컨텍스트. 프리뷰 — 예고 없이 바뀔 수 있다.

Grok 4.3 공식 API 직결 텍스트 모델. 캐릭터 대화와 일반 텍스트 생성에 사용할 수 있습니다.

GPT-5.6 Luna 공식 API 직결 텍스트 모델. 캐릭터 대화와 일반 텍스트 생성에 사용할 수 있습니다.

Grok 4.5 공식 API 직결 텍스트 모델. 캐릭터 대화와 일반 텍스트 생성에 사용할 수 있습니다.

Grok 4.6 공식 API 직결 텍스트 모델. 캐릭터 대화와 일반 텍스트 생성에 사용할 수 있습니다.

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

GPT-5.4 의 경량판. 일상 대화·요약·분류를 빠르고 싸게 처리합니다.

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...