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Models (41)
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NVIDIA
cosmos-reason1-7b
Reasoning vision language model (VLM) for physical AI and robotics.
Model
video understanding
+8
15.93K
6mo
NVIDIA
cosmos-reason2-8b
Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
Model
video understanding
+8
194K
2mo
DeepSeek AI
deepseek-r1-distill-llama-8b
Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance.
Model
Distillation
+5
4.14M
8mo
DeepSeek AI
deepseek-r1-distill-qwen-14b
Distilled version of Qwen 2.5 14B using reasoning data generated by DeepSeek R1 for enhanced performance.
Model
coding
+4
2.07K
3.78M
9mo
DeepSeek AI
deepseek-r1-distill-qwen-32b
Distilled version of Qwen 2.5 32B using reasoning data generated by DeepSeek R1 for enhanced performance.
Model
coding
+4
2.44K
4.17M
9mo
DeepSeek AI
deepseek-v3.1
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
Model
Reasoning
+2
14.26M
6mo
DeepSeek AI
deepseek-v3.1-terminus
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Model
tool calling
+3
12.1M
5mo
DeepSeek AI
deepseek-v3.2
State-of-the-art 685B reasoning LLM with sparse attention, long context, and integrated agentic tools.
Model
long context
+3
14.82M
2mo
Mistral AI
devstral-2-123b-instruct-2512
State-of-the-art open code model with deep reasoning, 256k context, and unmatched efficiency.
Model
coding
+4
5.09M
2mo
Tiiuae
falcon3-7b-instruct
Instruction tuned LLM achieving SoTA performance on reasoning, math and general knowledge capabilities
Model
Coding
+6
489K
9mo
Z.ai
glm4.7
GLM-4.7 is a multilingual agentic coding partner with stronger reasoning, tool use, and UI skills.
Model
Tool Calling
+4
17.69M
1mo
Z.ai
glm5
GLM-5 744B MoE enables efficient reasoning for complex systems and long-horizon agentic tasks.
Model
MoE
+3
6.37M
3w
OpenAI
gpt-oss-120b
Mixture of Experts (MoE) reasoning LLM (text-only) designed to fit within 80GB GPU.
Model
text-to-text
+3
34.11M
7mo
OpenAI
gpt-oss-20b
Smaller Mixture of Experts (MoE) text-only LLM for efficient AI reasoning and math
Model
text-to-text
+3
7.06M
7mo
IBM
granite-3.3-8b-instruct
Small language model fine-tuned for improved reasoning, coding, and instruction-following
Model
coding
+3
168K
7mo
Moonshotai
kimi-k2-instruct
State-of-the-art open mixture-of-experts model with strong reasoning, coding, and agentic capabilities
Model
coding
+3
19.43M
7mo
Moonshotai
kimi-k2-instruct-0905
Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities.
Model
long-context
+4
10.36M
5mo
Moonshotai
kimi-k2-thinking
Open reasoning model with 256K context window, native INT4 quantization and enhanced tool use.
Model
Conversational
+4
3.06M
2mo
Moonshotai
kimi-k2.5
1T multimodal MoE for high‑capacity video and image understanding with efficient inference.
Model
Multimodal
+4
19.83M
1mo
NVIDIA
llama-3.1-nemotron-nano-4b-v1.1
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
Model
edge
+4
98.6K
8mo
NVIDIA
llama-3.1-nemotron-nano-8b-v1
Leading reasoning and agentic AI accuracy model for PC and edge.
Model
chat
+4
552K
8mo
NVIDIA
llama-3.1-nemotron-ultra-253b-v1
Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
Model
chat
+4
6.62M
7mo
Meta
llama-3.3-70b-instruct
Advanced LLM for reasoning, math, general knowledge, and function calling
Model
Reasoning
+5
23.42M
8mo
NVIDIA
llama-3.3-nemotron-super-49b-v1
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Model
chat
+4
1.07M
7mo
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