NanoGPT

1000 个模型
名称 输入模态 输出模态 上下文 输出限制 能力 知识截止
GLM 5.1 Thinking text text 200,000 131,072 🧠 🔧 📋 -
GLM 5.1 text text 200,000 131,072 🧠 🔧 📋 -
GLM 5 Thinking text text 200,000 128,000 🧠 🔧 📋 -
GLM 5 text text 200,000 128,000 🧠 🔧 📋 -
GLM 4.7 Flash text text 200,000 128,000 🧠 🔧 📋 -
GLM 4.7 text text 200,000 128,000 🧠 🔧 📋 -
Z Image Turbo text image - - -
GLM 4.6 Thinking text text 200,000 65,535 🧠 🔧 📋 -
GLM 4.6 text text 200,000 65,535 🧠 🔧 📋 -
GLM 4.5V Thinking text, image text 64,000 96,000 🧠 -
GLM 4.5V text, image text 64,000 96,000 🧠 -
Yi Medium 200k text text 200,000 4,096 -
Yi Lightning text text 12,000 4,096 -
Yi Large text text 32,000 4,096 -
MiMo V2 Flash (Thinking) Original text text 256,000 32,768 -
MiMo V2 Flash (Thinking) text text 256,000 32,768 -
MiMo V2 Flash Original text text 256,000 32,768 -
Grok Code Fast 1 text text 256,000 131,072 🧠 -
Grok 4.1 Fast Reasoning text, image text 2,000,000 131,072 🧠 -
Grok 4.1 Fast text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 Fast Thinking text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 Fast text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 text, image text 256,000 131,072 🧠 -
Mistral Nemo Starcannon 12b v1 text text 16,384 8,192 -
Venice Uncensored Web text text 80,000 16,384 -
Venice Uncensored text text 128,000 16,384 -
v0 1.5 MD text text 200,000 64,000 -
v0 1.5 LG text text 1,000,000 64,000 -
v0 1.0 MD text text 200,000 64,000 -
Gemma 3 4B IT text, pdf text 128,000 8,192 -
Gemma 3 27B IT text, pdf text 128,000 96,000 -
Gemma 3 1B IT text text 128,000 8,192 -
Gemma 3 12B IT text, pdf text 128,000 131,072 -
Universal Summarizer text text 32,768 32,768 -
ReMM SLERP 13B text, pdf text 6,144 4,096 -
QwenLong L1 32B text text 128,000 40,960 -
TNG R1T Chimera text text 128,000 65,536 -
DeepSeek TNG R1T2 Chimera text text 128,000 8,192 -
GLM Z1 Rumination 32B 0414 text text 32,000 65,536 -
GLM Z1 9B 0414 text text 32,000 8,000 -
GLM Z1 32B 0414 text text 128,000 65,536 -
GLM 4 9B 0414 text text 32,000 8,000 -
GLM 4 32B 0414 text text 128,000 65,536 -
UnslopNemo 12b v4 text, pdf text 32,768 8,192 -
TheDrummer Skyfall 36B V2 text, pdf text 64,000 32,768 -
Rocinante 12b text text 16,384 8,192 -
The Drummer Magidonia 24B v4.3 text text 32,768 32,768 -
The Drummer Cydonia 24B v4.3 text text 32,768 32,768 -
The Drummer Cydonia 24B v4.1 text text 16,384 32,768 -
The Drummer Cydonia 24B v4 text text 16,384 32,768 -
The Drummer Cydonia 24B v2 text text 16,384 32,768 -
Anubis 70B v1.1 text text 131,072 16,384 -
Anubis 70B v1 text text 65,536 16,384 -
Hunyuan MT 7B text text 8,192 8,192 -
Qwen3.5 397B A17B TEE text text 258,048 65,536 -
Qwen3 Coder 480B TEE text text 128,000 32,768 -
Qwen3 30B A3B Instruct 2507 TEE text text 262,000 32,768 -
Qwen2.5 VL 72B TEE text, image text 65,536 8,192 -
MiniMax M2.1 TEE text text 200,000 131,072 🧠 🔧 📋 -
Llama 3.3 70B text text 128,000 16,384 -
Kimi K2.5 Thinking TEE text text 128,000 65,535 🧠 -
Kimi K2.5 TEE text text 128,000 65,535 -
Kimi K2 Thinking TEE text text 128,000 65,535 -
GPT-OSS 20B TEE text text 131,072 8,192 -
GPT-OSS 120B TEE text text 131,072 16,384 -
GLM 5 TEE text text 203,000 65,535 -
GLM 4.7 Flash TEE text text 203,000 65,535 -
GLM 4.7 TEE text text 131,000 65,535 -
GLM 4.6 TEE text text 203,000 65,535 -
Gemma 3 27B TEE text text 131,072 8,192 -
DeepSeek V3.2 TEE text text 164,000 65,536 -
DeepSeek V3.1 TEE text text 164,000 8,192 -
DeepSeek R1 0528 TEE text text 128,000 65,536 -
Study Mode text, image text 200,000 16,384 -
Step 3.5 Flash Thinking text text 256,000 256,000 🧠 -
Step 3.5 Flash text text 256,000 256,000 🧠 -
Step R1 V Mini text text 128,000 65,536 -
Step-3 text, image text 65,536 8,192 -
Step-2 Mini text text 8,000 4,096 -
Step-2 16k Exp text text 16,000 8,192 -
Steelskull Nevoria R1 70b text text 16,384 16,384 -
Steelskull Nevoria 70b text text 16,384 16,384 -
Evayale 70b text text 16,384 16,384 -
MS Evalebis 70b text text 16,384 16,384 -
Steelskull Electra R1 70b text text 16,384 16,384 -
Llama 3.3 70B Cu Mai text text 16,384 16,384 -
Veiled Calla 12B text text 32,768 8,192 -
Grayline Qwen3 8B text text 16,384 32,768 -
Amoral Gemma3 27B v2 text text 32,768 8,192 -
Perplexity Reasoning Pro text text 127,000 128,000 🧠 -
Perplexity Pro text text 200,000 128,000 -
Perplexity Deep Research text text 60,000 128,000 -
Perplexity Simple text text 127,000 128,000 -
Shisa V2.1 Llama 3.3 70B text text 32,768 4,096 -
Shisa V2 Llama 3.3 70B text text 128,000 16,384 -
Sarvam Medium text text 128,000 16,384 -
Llama 3.3 70B Euryale text text 20,480 16,384 -
Llama 3.1 70B Hanami text text 16,384 16,384 -
Llama 3.1 70B Euryale text text 20,480 16,384 -
Sao10K Stheno 8b text text 16,384 8,192 -
Llama-xLAM-2 70B fc-r text text 128,000 16,384 -
The Omega Abomination V1 text text 16,384 16,384 -
Omega Directive 24B Unslop v2.0 text text 16,384 32,768 -
SorcererLM 8x22B text, pdf text 16,000 8,192 -
QwQ 32b Arli V1 text text 32,768 32,768 -
Qwen: QwQ 32B text text 128,000 32,768 -
Qwen3.6 Max Preview text text 245,800 65,536 -
Qwen3 VL 235B A22B Thinking text, image text 32,768 32,768 🧠 -
Qwen3 VL 235B A22B Instruct Original text, image text 32,768 32,768 -
Qwen3 Max 2026-01-23 text text 256,000 32,768 -
Qwen3 Coder 30B A3B Instruct text text 128,000 65,536 🔧 📋 -
Qwen3 30B A3B Instruct 2507 text text 256,000 32,768 -
Qwen25 VL 72b text, image text 32,000 32,768 -
Qwen 2.5 32b EVA text text 24,576 8,192 -
Qwen3.6 35B A3B Thinking text, image, video text 262,144 16,384 🧠 -
Qwen3.6 35B A3B text, image, video text 262,144 16,384 -
Qwen3.5 397B A17B text, image, video text 258,048 65,536 -
Qwen Turbo text text 1,000,000 8,192 -
Qwen Plus text text 995,904 32,768 🧠 -
Qwen 2.5 Max text text 32,000 8,192 -
Qwen Long 10M text, pdf text 10,000,000 8,192 -
Qwen Image text, image image - - -
Qwen 3.6 Plus text, image, video text 991,800 65,536 -
Qwen: QvQ Max text, image text 128,000 8,192 -
Phi 4 Multimodal text text 128,000 16,384 -
Phi 4 Mini text text 128,000 16,384 -
OpenReasoning Nemotron 32B text text 32,768 65,536 🧠 -
OpenAI o4-mini high text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-pro (2025-06-10) text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-mini (Low) text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-mini (High) text text 200,000 100,000 🧠 🔧 📋 -
GPT OSS Safeguard 20B text text 128,000 16,384 🧠 -
GPT-5.1 (2025-11-13) text text 1,000,000 32,768 -
GPT-4o Search Preview text, image text 128,000 16,384 -
GPT-4o mini Search Preview text text 128,000 16,384 -
GPT-4 Turbo Preview text text 128,000 4,096 -
ChatGPT 4o text, image text 128,000 16,384 🔧 📋 -
Nvidia Nemotron Nano 9B v2 text text 128,000 16,384 -
Nvidia Nemotron 3 Nano 30B text text 256,000 262,144 -
Nvidia Nemotron Super 49B text text 128,000 16,384 -
Nvidia Nemotron Ultra 253B text text 128,000 16,384 -
Nvidia Nemotron 70b text text 16,384 8,192 -
Nvidia Nemotron Super 49B v1.5 text text 128,000 16,384 -
Hermes 4 (Thinking) text text 128,000 8,192 -
Hermes 4 Medium text text 128,000 8,192 -
Hermes 4 Large (Thinking) text text 128,000 8,192 🔧 📋 -
Hermes 4 Large text text 128,000 8,192 🔧 📋 -
Hermes 3 70B text text 65,536 8,192 -
DeepHermes-3 Mistral 24B (Preview) text text 128,000 32,768 -
Llama 3.1 70B Celeste v0.1 text text 16,384 16,384 -
DeepSeek V3.1 Nex N1 text text 128,000 8,192 -
Lumimaid v0.2 text text 16,384 8,192 -
Lumimaid 70b text, pdf text 16,384 8,192 -
GLM 5.1 Thinking text text 200,000 131,072 🧠 🔧 📋 -
GLM 5.1 text text 200,000 131,072 🧠 🔧 📋 -
GLM 5 Thinking text text 200,000 128,000 🧠 🔧 📋 -
GLM 5 text text 200,000 128,000 🧠 🔧 📋 -
GLM 4.7 Flash text text 200,000 128,000 🧠 🔧 📋 -
GLM 4.7 text text 200,000 128,000 🧠 🔧 📋 -
Z Image Turbo text image - - -
GLM 4.6 Thinking text text 200,000 65,535 🧠 🔧 📋 -
GLM 4.6 text text 200,000 65,535 🧠 🔧 📋 -
GLM 4.5V Thinking text, image text 64,000 96,000 🧠 -
GLM 4.5V text, image text 64,000 96,000 🧠 -
Yi Medium 200k text text 200,000 4,096 -
Yi Lightning text text 12,000 4,096 -
Yi Large text text 32,000 4,096 -
MiMo V2 Flash (Thinking) Original text text 256,000 32,768 -
MiMo V2 Flash (Thinking) text text 256,000 32,768 -
MiMo V2 Flash Original text text 256,000 32,768 -
MiMo V2 Flash text text 256,000 32,768 -
Grok Code Fast 1 text text 256,000 131,072 🧠 -
Grok 4.1 Fast Reasoning text, image text 2,000,000 131,072 🧠 -
Grok 4.1 Fast text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 Fast Thinking text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 Fast text, image text 2,000,000 131,072 🧠 🔧 📋 -
Grok 4 text, image text 256,000 131,072 🧠 -
Mistral Nemo Starcannon 12b v1 text text 16,384 8,192 -
Venice Uncensored Web text text 80,000 16,384 -
Venice Uncensored text text 128,000 16,384 -
v0 1.5 MD text text 200,000 64,000 -
v0 1.5 LG text text 1,000,000 64,000 -
v0 1.0 MD text text 200,000 64,000 -
Gemma 3 4B IT text, pdf text 128,000 8,192 -
Gemma 3 27B IT text, pdf text 128,000 96,000 -
Gemma 3 1B IT text text 128,000 8,192 -
Gemma 3 12B IT text, pdf text 128,000 131,072 -
Universal Summarizer text text 32,768 32,768 -
ReMM SLERP 13B text, pdf text 6,144 4,096 -
QwenLong L1 32B text text 128,000 40,960 -
TNG R1T Chimera text text 128,000 65,536 -
DeepSeek TNG R1T2 Chimera text text 128,000 8,192 -
GLM Z1 Rumination 32B 0414 text text 32,000 65,536 -
GLM Z1 9B 0414 text text 32,000 8,000 -
GLM Z1 32B 0414 text text 128,000 65,536 -
GLM 4 9B 0414 text text 32,000 8,000 -
GLM 4 32B 0414 text text 128,000 65,536 -
UnslopNemo 12b v4 text, pdf text 32,768 8,192 -
TheDrummer Skyfall 36B V2 text, pdf text 64,000 32,768 -
Rocinante 12b text text 16,384 8,192 -
The Drummer Magidonia 24B v4.3 text text 32,768 32,768 -
The Drummer Cydonia 24B v4.3 text text 32,768 32,768 -
The Drummer Cydonia 24B v4.1 text text 16,384 32,768 -
The Drummer Cydonia 24B v4 text text 16,384 32,768 -
The Drummer Cydonia 24B v2 text text 16,384 32,768 -
Anubis 70B v1.1 text text 131,072 16,384 -
Anubis 70B v1 text text 65,536 16,384 -
Hunyuan MT 7B text text 8,192 8,192 -
Qwen3.5 397B A17B TEE text text 258,048 65,536 -
Qwen3 Coder 480B TEE text text 128,000 32,768 -
Qwen3 30B A3B Instruct 2507 TEE text text 262,000 32,768 -
Qwen2.5 VL 72B TEE text, image text 65,536 8,192 -
MiniMax M2.1 TEE text text 200,000 131,072 🧠 🔧 📋 -
Llama 3.3 70B text text 128,000 16,384 -
Kimi K2.5 Thinking TEE text text 128,000 65,535 🧠 -
Kimi K2.5 TEE text text 128,000 65,535 -
Kimi K2 Thinking TEE text text 128,000 65,535 -
GPT-OSS 20B TEE text text 131,072 8,192 -
GPT-OSS 120B TEE text text 131,072 16,384 -
GLM 5 TEE text text 203,000 65,535 -
GLM 4.7 Flash TEE text text 203,000 65,535 -
GLM 4.7 TEE text text 131,000 65,535 -
GLM 4.6 TEE text text 203,000 65,535 -
Gemma 3 27B TEE text text 131,072 8,192 -
DeepSeek V3.2 TEE text text 164,000 65,536 -
DeepSeek V3.1 TEE text text 164,000 8,192 -
DeepSeek R1 0528 TEE text text 128,000 65,536 -
Study Mode text, image text 200,000 16,384 -
Step 3.5 Flash Thinking text text 256,000 256,000 🧠 -
Step 3.5 Flash text text 256,000 256,000 🧠 -
Step R1 V Mini text text 128,000 65,536 -
Step-3 text, image text 65,536 8,192 -
Step-2 Mini text text 8,000 4,096 -
Step-2 16k Exp text text 16,000 8,192 -
Steelskull Nevoria R1 70b text text 16,384 16,384 -
Steelskull Nevoria 70b text text 16,384 16,384 -
Evayale 70b text text 16,384 16,384 -
MS Evalebis 70b text text 16,384 16,384 -
Steelskull Electra R1 70b text text 16,384 16,384 -
Llama 3.3 70B Cu Mai text text 16,384 16,384 -
Veiled Calla 12B text text 32,768 8,192 -
Grayline Qwen3 8B text text 16,384 32,768 -
Amoral Gemma3 27B v2 text text 32,768 8,192 -
Perplexity Reasoning Pro text text 127,000 128,000 🧠 -
Perplexity Pro text text 200,000 128,000 -
Perplexity Deep Research text text 60,000 128,000 -
Perplexity Simple text text 127,000 128,000 -
Shisa V2.1 Llama 3.3 70B text text 32,768 4,096 -
Shisa V2 Llama 3.3 70B text text 128,000 16,384 -
Sarvam Medium text text 128,000 16,384 -
Llama 3.3 70B Euryale text text 20,480 16,384 -
Llama 3.1 70B Hanami text text 16,384 16,384 -
Llama 3.1 70B Euryale text text 20,480 16,384 -
Sao10K Stheno 8b text text 16,384 8,192 -
Llama-xLAM-2 70B fc-r text text 128,000 16,384 -
The Omega Abomination V1 text text 16,384 16,384 -
Omega Directive 24B Unslop v2.0 text text 16,384 32,768 -
SorcererLM 8x22B text, pdf text 16,000 8,192 -
QwQ 32b Arli V1 text text 32,768 32,768 -
Qwen: QwQ 32B text text 128,000 32,768 -
Qwen3.6 Max Preview text text 245,800 65,536 -
Qwen3 VL 235B A22B Thinking text, image text 32,768 32,768 🧠 -
Qwen3 VL 235B A22B Instruct Original text, image text 32,768 32,768 -
Qwen3 Max 2026-01-23 text text 256,000 32,768 -
Qwen3 Coder 30B A3B Instruct text text 128,000 65,536 🔧 📋 -
Qwen3 30B A3B Instruct 2507 text text 256,000 32,768 -
Qwen25 VL 72b text, image text 32,000 32,768 -
Qwen 2.5 32b EVA text text 24,576 8,192 -
Qwen3.6 35B A3B Thinking text, image, video text 262,144 16,384 🧠 -
Qwen3.6 35B A3B text, image, video text 262,144 16,384 -
Qwen3.5 397B A17B text, image, video text 258,048 65,536 -
Qwen Turbo text text 1,000,000 8,192 -
Qwen Plus text text 995,904 32,768 🧠 -
Qwen 2.5 Max text text 32,000 8,192 -
Qwen Long 10M text, pdf text 10,000,000 8,192 -
Qwen Image text, image image - - -
Qwen 3.6 Plus text, image, video text 991,800 65,536 -
Qwen: QvQ Max text, image text 128,000 8,192 -
Phi 4 Multimodal text text 128,000 16,384 -
Phi 4 Mini text text 128,000 16,384 -
OpenReasoning Nemotron 32B text text 32,768 65,536 🧠 -
OpenAI o4-mini high text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o4-mini Deep Research text text 200,000 100,000 🧠 -
OpenAI o4-mini text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-pro (2025-06-10) text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-mini (Low) text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-mini (High) text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3-mini text text 200,000 100,000 🧠 🔧 📋 -
OpenAI o3 Deep Research text text 200,000 100,000 🧠 -
OpenAI o3 text text 200,000 100,000 -
OpenAI o1 Pro text, image, pdf text 200,000 100,000 -
OpenAI o1-preview text text 128,000 32,768 🧠 -
OpenAI o1 text text 200,000 100,000 🧠 -
GPT OSS Safeguard 20B text text 128,000 16,384 🧠 -
GPT OSS 20B text text 128,000 16,384 🧠 -
GPT OSS 120B text text 128,000 16,384 🧠 🔧 📋 -
GPT 5.2 Pro text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT 5.2 Codex text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT 5.2 Chat text, image text 400,000 16,384 🧠 -
GPT 5.2 text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT 5.1 Codex Mini text, image text 400,000 128,000 🧠 -
GPT 5.1 Codex Max text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT 5.1 Codex text, image text 400,000 128,000 🧠 -
GPT 5.1 Chat (Latest) text, image text 400,000 16,384 🧠 -
GPT 5.1 Chat text, image text 400,000 128,000 🧠 -
GPT-5.1 (2025-11-13) text text 1,000,000 32,768 -
GPT 5.1 text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT 5 Pro text, image text 400,000 128,000 🧠 -
GPT 5 Nano text, image text 400,000 128,000 🧠 -
GPT 5 Mini text, image text 400,000 128,000 🧠 -
GPT-5 Codex text text 256,000 32,768 -
GPT 5 Chat text, image text 400,000 128,000 🧠 -
GPT 5 text, image, pdf text 400,000 128,000 🧠 🔧 📋 -
GPT-4o Search Preview text, image text 128,000 16,384 -
GPT-4o mini Search Preview text text 128,000 16,384 -
GPT-4o mini text, image text 128,000 16,384 -
GPT-4o (2024-11-20) text, image text 128,000 16,384 -
GPT-4o (2024-08-06) text, image text 128,000 16,384 -
GPT-4o text, image text 128,000 16,384 -
GPT 4.1 Nano text, image, pdf text 1,047,576 32,768 -
GPT 4.1 Mini text, image text 1,047,576 32,768 -
GPT 4.1 text, image, pdf text 1,047,576 32,768 🔧 📋 -
GPT-4 Turbo Preview text text 128,000 4,096 -
GPT-4 Turbo text, image text 128,000 4,096 -
GPT-3.5 Turbo text text 16,385 4,096 -
ChatGPT 4o text, image text 128,000 16,384 🔧 📋 -
Nvidia Nemotron Nano 9B v2 text text 128,000 16,384 -
Nvidia Nemotron 3 Nano 30B text text 256,000 262,144 -
Nvidia Nemotron Super 49B text text 128,000 16,384 -
Nvidia Nemotron Ultra 253B text text 128,000 16,384 -
Nvidia Nemotron 70b text text 16,384 8,192 -
Nvidia Nemotron Super 49B v1.5 text text 128,000 16,384 -
Hermes 4 (Thinking) text text 128,000 8,192 -
Hermes 4 Medium text text 128,000 8,192 -
Hermes 4 Large (Thinking) text text 128,000 8,192 🔧 📋 -
Hermes 4 Large text text 128,000 8,192 🔧 📋 -
Hermes 3 70B text text 65,536 8,192 -
DeepHermes-3 Mistral 24B (Preview) text text 128,000 32,768 -
Llama 3.1 70B Celeste v0.1 text text 16,384 16,384 -
DeepSeek V3.1 Nex N1 text text 128,000 8,192 -
Lumimaid v0.2 text text 16,384 8,192 -
Lumimaid 70b text, pdf text 16,384 8,192 -
Kimi K2.6 Thinking text, image text 256,000 65,536 🧠 🔧 -
Kimi K2.6 text, image text 256,000 65,536 🔧 -
Kimi K2.5 Thinking text, image text 256,000 65,536 🧠 🔧 -
Kimi K2.5 text, image text 256,000 65,536 🔧 -
Kimi K2 Thinking Turbo Original text text 256,000 16,384 🧠 -
Kimi K2 Thinking Original text text 256,000 16,384 🧠 -
Kimi K2 Thinking text text 256,000 262,144 🔧 📋 -
Kimi K2 0905 text text 256,000 262,144 🔧 📋 -
Kimi K2 0711 text text 128,000 8,192 🔧 📋 -
Kimi K2 Instruct text text 256,000 8,192 🔧 📋 -
Kimi Dev 72B text, pdf text 128,000 131,072 -
Neural Daredevil 8B abliterated text text 8,192 8,192 -
Mixtral 8x7B text text 32,768 32,768 -
Mixtral 8x22B text text 65,536 32,768 -
Mistral Tiny text text 32,000 8,192 -
Mistral Small Creative text text 32,768 32,768 🔧 📋 -
Mistral Saba text text 32,000 32,768 -
Mistral Nemo text text 16,384 8,192 -
Mistral Medium 3.1 text text 131,072 32,768 -
Mistral Medium 3 text, image text 131,072 32,768 -
Mistral Large 3 675B text, image text 262,144 256,000 -
Mistral Large 2411 text text 128,000 256,000 -
Mistral 7B Instruct text, pdf text 32,768 8,192 -
Ministral 8B text text 262,144 32,768 -
Ministral 3B text text 131,072 32,768 -
Ministral 3 14B text, image text 262,144 32,768 -
Ministral 14B text text 262,144 32,768 -
Mistral Devstral Small 2505 text text 32,768 8,192 -
Devstral 2 123B text text 262,144 65,536 -
Codestral 2508 text text 256,000 32,768 -
Mistral Small 31 24b Instruct text, image text 128,000 131,072 -
Mistral Nemo 12B Instruct 2407 text, pdf text 16,384 16,384 -
MiroThinker v1.5 235B text text 32,768 4,000 -
MiniMax M1 80K text text 1,000,000 131,072 -
MiniMax M2.7 text text 204,800 131,072 🧠 🔧 📋 -
MiniMax M2.5 text text 204,800 131,072 🧠 🔧 📋 -
MiniMax M2.1 text text 200,000 131,072 🧠 🔧 📋 -
MiniMax M2-her text text 65,532 2,048 -
MiniMax 01 text, pdf text 1,000,192 16,384 -
MiniMax M2 text text 200,000 131,072 🧠 -
MiniMax M1 text text 1,000,000 131,072 -
WizardLM-2 8x22B text, pdf text 65,536 8,192 -
Microsoft DeepSeek R1 text, pdf text 128,000 8,192 -
Llama 4 Scout text, image text 328,000 65,536 🔧 📋 -
Llama 4 Maverick text, image text 1,048,576 65,536 🔧 📋 -
Llama 3.3 70b Instruct text text 131,072 16,384 🔧 📋 -
Llama 3.2 Medium text text 131,072 16,384 -
Llama 3.2 3b Instruct text, pdf text 131,072 8,192 -
Llama 3.1 8b Instruct text text 131,072 16,384 -
Llama 3.1 8B (decentralized) text text 128,000 16,384 -
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