LLMs Overview

Online LLMs in PapersGPT

Today, AI is advancing at a very fast pace, with new models and techniques coming out almost every week. The race shows no signs of slowing down, with the leaderboard of top AI models shifting almost weekly. This guide will help you to get an overview of the LLMs. You can use most of the LLMs in PapersGPT to chat pdf. Below is the models supported in PapersGPT:

ProviderSupported Models
OpenAIgpt-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
GeminiGemini 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
ClaudeHaiku 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
DeepSeekDeepSeek 3.2 Exp
QwenQwen3-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
MistralMagistral Medium | Magistral small | Mistral Medium 3 | Mistral Small 3.2 | Mistral Large
Kimikimi-k2-thinking | kimi-k2-0905-preview | kimi-k2-0711-preview | kimi-k2-turbo-preview
Z.aiglm-4.6 | glm-4.5 | glm-4.5-air | glm-4.5-flash
OpenRouterClaude 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
SiliconFlowDeepSeek 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

Please note that OpenRouter and SiliconFlow are models hubs which supply the most popular SOTA models.

How to judge and choose a model?

With so many models available on the market, how do you choose the right one? Here are two reference platforms to consider:

* OpenRouter, which contains numerous models and is used by a large number of users. Therefore, the top 20 most-used models listed above are worth considering. However, it's best to prioritize them based on their intended use, as some models are better suited for coding but not necessarily for reading comprehension.

* lmarena.ai, a LLM benchmark platform, which judges models all by the manual comparative evaluation, and the evaluation is also a black box scoring system set up according to different usage scenarios.

In addition, if you use LLM frequently, a cost-effective economic model is also a point worth considering when choosing. For details, please see this article.