LLM 개요

PapersGPT의 온라인 LLM

오늘날 AI는 매우 빠른 속도로 발전하고 있으며, 거의 매주 새로운 모델과 기술이 등장하고 있습니다. 경쟁은 둔화될 기미가 보이지 않으며, 최고 AI 모델의 리더보드는 거의 매주 바뀌고 있습니다. 이 가이드는 LLM의 개요를 파악하는 데 도움이 될 것입니다. PapersGPT에서 대부분의 LLM을 사용하여 PDF와 채팅할 수 있습니다. 다음은 PapersGPT에서 지원하는 모델입니다:

Provider	Supported Models
OpenAI	gpt-5.1 \| gpt-5 \| gpt-5-min \| gpt-5-nano \| gpt-5-chat
	gpt-4.1 \| gpt-4.1-mini \| gpt-4.1-nano
	o4-mini-deep-research \| gpt-4o-mini-search-preview \| gpt-4o-search-preview
	o3 \| o4-mini \| o3-mini \| o1-mini
	gpt-4o \| chatgpt-4o-latest \| gpt-4o-mini \| gpt-4 \| gpt-4-turbo \| gpt-3.5-turbo
Gemini	Gemini 3 Pro Preview
	2.5 Pro \| Flash Latest \| Flash Lite Latest \| 2.5 Flash \| 2.5 Flash-Lite
	2.0 Flash \| 2.0 Flash-Lite
Claude	Haiku 4.5 \| Sonnet 4.5 \| Opus 4.1 \| Opus 4 \| Sonnet 4
	Sonnet 3.7 \| Sonnet 3.5 \| Haiku 3.5
	Opus 3 \| Sonnet 3 \| Haiku 3
DeepSeek	DeepSeek 3.2 Exp
Qwen	Qwen3-Max \| Qwen-Plus \| Qwen-Flash
	qwen3-235b-a22b-thinking-2507 \| qwen3-235b-a22b-instruct-2507
	qwen3-30b-a3b-thinking-2507 \| qwen3-30b-a3b-instruct-2507
Mistral	Magistral Medium \| Magistral small \| Mistral Medium 3 \| Mistral Small 3.2 \| Mistral Large
Kimi	kimi-k2-thinking \| kimi-k2-0905-preview \| kimi-k2-0711-preview \| kimi-k2-turbo-preview
Z.ai	glm-4.6 \| glm-4.5 \| glm-4.5-air \| glm-4.5-flash
OpenRouter	Claude Sonnet 4.5 \| Gemini 2.5 Flash \| Gemini 2.5 Pro \| Grok 4 Fast \| MiniMax M2 \| Claude Sonnet 4 \| Gemini 2.0 Flash \| DeepSeek V3 0324 \| Gemini 2.5 Flash Lite \| GPT-4o-mini \| Claude Haiku 4.5 \| GLM 4.6 \| Qwen3 235B A22B Instruct 2507 \| gpt-oss-120b \| DeepSeek R1T2 Chimera (free) \| DeepSeek V3.1 \| Gemini 2.5 Flash Preview 09-2025 \| GPT-5 \| GPT-5 Mini \| Claude 3.7 Sonnet \| Tongyi DeepResearch 30B A3B(free) \| gpt-oss-20b(free) \| Mistral Medium 3.1 \| Qwen3 Next 80B A3B Thinking \| Qwen3 Next 80B A3B Instruct \| Claude Opus 4.1 \| Kimi K2 0905 \| Grok 4
SiliconFlow	DeepSeek V3.1 Terminus \| DeepSeek V3.1 \| gpt-oss-120b \| gpt-oss-20b \| Kimi-K2-Instruct-0905 \| Qwen3-Next-80B-A3B-Instruct \| Ling-mini-2.0 \| Ling-flash-2.0 \| DeepSeek-V3 \| DeepSeek-R1 \| GLM-4.5 \| GLM-4.5-Air \| Qwen3-235B-A22B-Thinking-2507 \| Qwen3-235B-A22B-Instruct-2507 \| Qwen3-30B-A3B-Thinking-2507 \| Qwen3-30B-A3B-Instruct-2507 \| Kimi-K2-Instruct \| ERNIE-4.5-300B-A47B \| Hunyuan-A13B-Instruct \| MiniMax-M1-80k

OpenRouter와 SiliconFlow는 가장 인기 있는 SOTA 모델을 제공하는 모델 허브입니다.

Provider	Supported Models
OpenAI	gpt-5.1 \| gpt-5 \| gpt-5-min \| gpt-5-nano \| gpt-5-chat
	gpt-4.1 \| gpt-4.1-mini \| gpt-4.1-nano
	o4-mini-deep-research \| gpt-4o-mini-search-preview \| gpt-4o-search-preview
	o3 \| o4-mini \| o3-mini \| o1-mini
	gpt-4o \| chatgpt-4o-latest \| gpt-4o-mini \| gpt-4 \| gpt-4-turbo \| gpt-3.5-turbo
Gemini	Gemini 3 Pro Preview
	2.5 Pro \| Flash Latest \| Flash Lite Latest \| 2.5 Flash \| 2.5 Flash-Lite
	2.0 Flash \| 2.0 Flash-Lite
Claude	Haiku 4.5 \| Sonnet 4.5 \| Opus 4.1 \| Opus 4 \| Sonnet 4
	Sonnet 3.7 \| Sonnet 3.5 \| Haiku 3.5
	Opus 3 \| Sonnet 3 \| Haiku 3
DeepSeek	DeepSeek 3.2 Exp
Qwen	Qwen3-Max \| Qwen-Plus \| Qwen-Flash
	qwen3-235b-a22b-thinking-2507 \| qwen3-235b-a22b-instruct-2507
	qwen3-30b-a3b-thinking-2507 \| qwen3-30b-a3b-instruct-2507
Mistral	Magistral Medium \| Magistral small \| Mistral Medium 3 \| Mistral Small 3.2 \| Mistral Large
Kimi	kimi-k2-thinking \| kimi-k2-0905-preview \| kimi-k2-0711-preview \| kimi-k2-turbo-preview
Z.ai	glm-4.6 \| glm-4.5 \| glm-4.5-air \| glm-4.5-flash
OpenRouter	Claude Sonnet 4.5 \| Gemini 2.5 Flash \| Gemini 2.5 Pro \| Grok 4 Fast \| MiniMax M2 \| Claude Sonnet 4 \| Gemini 2.0 Flash \| DeepSeek V3 0324 \| Gemini 2.5 Flash Lite \| GPT-4o-mini \| Claude Haiku 4.5 \| GLM 4.6 \| Qwen3 235B A22B Instruct 2507 \| gpt-oss-120b \| DeepSeek R1T2 Chimera (free) \| DeepSeek V3.1 \| Gemini 2.5 Flash Preview 09-2025 \| GPT-5 \| GPT-5 Mini \| Claude 3.7 Sonnet \| Tongyi DeepResearch 30B A3B(free) \| gpt-oss-20b(free) \| Mistral Medium 3.1 \| Qwen3 Next 80B A3B Thinking \| Qwen3 Next 80B A3B Instruct \| Claude Opus 4.1 \| Kimi K2 0905 \| Grok 4
SiliconFlow	DeepSeek V3.1 Terminus \| DeepSeek V3.1 \| gpt-oss-120b \| gpt-oss-20b \| Kimi-K2-Instruct-0905 \| Qwen3-Next-80B-A3B-Instruct \| Ling-mini-2.0 \| Ling-flash-2.0 \| DeepSeek-V3 \| DeepSeek-R1 \| GLM-4.5 \| GLM-4.5-Air \| Qwen3-235B-A22B-Thinking-2507 \| Qwen3-235B-A22B-Instruct-2507 \| Qwen3-30B-A3B-Thinking-2507 \| Qwen3-30B-A3B-Instruct-2507 \| Kimi-K2-Instruct \| ERNIE-4.5-300B-A47B \| Hunyuan-A13B-Instruct \| MiniMax-M1-80k

LLM 개요

PapersGPT의 온라인 LLM

OpenRouter와 SiliconFlow는 가장 인기 있는 SOTA 모델을 제공하는 모델 허브입니다.

모델을 판단하고 선택하는 방법은?

시장에 많은 모델이 있는데, 어떻게 적합한 모델을 선택할 수 있을까요? 고려할 두 가지 참고 플랫폼이 있습니다:

lmarena.ai: LLM 벤치마크 플랫폼으로, 수동 비교 평가로 모델을 판단하며, 평가는 다양한 사용 시나리오에 따라 설정된 블랙박스 채점 시스템입니다.

또한 LLM을 자주 사용하는 경우 비용 효율적인 경제적 모델도 선택 시 고려할 가치가 있는 포인트입니다.