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Models (10)
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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
15.64M
2mo
Moonshotai
kimi-k2-instruct-0905
Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities.
Model
long-context
+4
10.04M
5mo
Moonshotai
kimi-k2-thinking
Open reasoning model with 256K context window, native INT4 quantization and enhanced tool use.
Model
Conversational
+4
3.22M
3mo
Qwen
qwen3-coder-480b-a35b-instruct
Excels in agentic coding and browser use and supports 256K context, delivering top results.
Model
agentic coding
+4
3.83M
6mo
NVIDIA
nemotron-3-nano-30b-a3b
Open, efficient MoE model with 1M context, excelling in coding, reasoning, instruction following, tool calling, and more
Model
MoE
+4
12.32M
2mo
NVIDIA
llama-3.2-nv-rerankqa-1b-v2
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Model
nemo retriever
+2
151K
7mo
Microsoft
phi-3-small-128k-instruct
Long context cutting-edge lightweight open language model exceling in high-quality reasoning.
Model
chat
+4
590K
9mo
Qwen
qwen3-next-80b-a3b-instruct
Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.
Model
chat
+2
11.15M
5mo
ByteDance
seed-oss-36b-instruct
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
Model
thinking budget
+3
3.46M
6mo
NVIDIA
llama-3.2-nv-embedqa-1b-v2
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Model
nemo retriever
+3
6.63M
7mo
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