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LLM Models · Reasoning

Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.

67 models Compare
OpenAI: GPT-6.1 Sol (batch) logo
OpenAI: GPT-6.1 Sol (batch)
openai

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

Reasoning ★ 52.0
OpenAI: GPT-6 Sol Pro logo
OpenAI: GPT-6 Sol Pro
openai

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

Reasoning ★ 48.0
K-EXAONE-236B-A23B-FP8 logo
K-EXAONE-236B-A23B-FP8
LGAI-EXAONE

Check out the NVFP4+GPTQ weights by FuriosaAI ! ➡️ link

Reasoning 236.0B ★ 20.0 ↓ 1.2K
deepseek-r1-distill-qwen2.5-bakeneko-32b logo
deepseek-r1-distill-qwen2.5-bakeneko-32b
rinna

DeepSeek R1 Distill Qwen2.5 Bakeneko 32B (rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b)

Reasoning 32.0B ★ 20.0 ↓ 137
deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int4 logo
deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int4
rinna

DeepSeek R1 Distill Qwen2.5 Bakeneko 32B GPTQ int4 (rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int4)

Reasoning 32.0B ★ 20.0 ↓ 67
deepseek-r1-distill-qwen2.5-bakeneko-32b-awq logo
deepseek-r1-distill-qwen2.5-bakeneko-32b-awq
rinna

DeepSeek R1 Distill Qwen2.5 Bakeneko 32B AWQ (rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-awq)

Reasoning 32.0B ★ 20.0 ↓ 65
deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int8 logo
deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int8
rinna

DeepSeek R1 Distill Qwen2.5 Bakeneko 32B GPTQ int8 (rinna/deepseek-r1-distill-qwen2.5-bakeneko-32b-gptq-int8)

Reasoning 32.0B ★ 20.0 ↓ 59
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 logo
NVIDIA-Nemotron-3-Super-120B-A12B-BF16
nvidia

:--- :--- Total Parameters 120B (12B active) Architecture LatentMoE - Mamba-2 + MoE + Attention hybrid with Multi-Token Prediction (MTP) Context Length Up to 1M tokens Minimum GPU Requirement 8× H100-80GB Supported Languages English, French, German, Italian, Japanese, Spanish, Ch…

Reasoning 120.0B ★ 13.0 ↓ 1M
NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 logo
NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
nvidia

:--- :--- Total Parameters 120B (12B active) Architecture LatentMoE - Mamba-2 + MoE + Attention hybrid with Multi-Token Prediction (MTP) Context Length Up to 1M tokens Minimum GPU Requirement 1× B200 OR 1× DGX Spark Supported Languages English, French, German, Italian, Japanese,…

Reasoning 120.0B ★ 13.0 ↓ 678.6K
NVIDIA-Nemotron-3-Super-120B-A12B-FP8 logo
NVIDIA-Nemotron-3-Super-120B-A12B-FP8
nvidia

:--- :--- Total Parameters 120B (12B active) Architecture LatentMoE - Mamba-2 + MoE + Attention hybrid with Multi-Token Prediction (MTP) Context Length Up to 1M tokens Minimum GPU Requirement 2× H100-80GB Supported Languages English, French, German, Italian, Japanese, Spanish, Ch…

Reasoning 120.0B ★ 13.0 ↓ 64K
MiniCPM5-2B logo
MiniCPM5-2B
openbmb

MiniCPM Tech Report MiniCPM Wiki(Chinese) GitHub Repo UltraData Online Demo

Reasoning 2.52B ★ 12.0 ↓ 1.3M
Llama-3_3-Nemotron-Super-49B-v1_5-FP8 logo
Llama-3_3-Nemotron-Super-49B-v1_5-FP8
nvidia

Llama-3.3-Nemotron-Super-49B-v1.5-FP8 is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reason…

Reasoning 49.0B ★ 12.0 ↓ 76.7K