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Mathematical Reasoning on MATH 500 (Accuracy, Cost, Latency)

98AccuracyQwen3-Next-80B-A3B-Instruct
8.24831.54954.8578.151Jun 3, 2025Jul 13, 2025Aug 22, 2025Oct 1, 2025Nov 10, 2025Dec 20, 2025Jan 29, 2026

Evaluation results

MethodLinks
Qwen3-Next-80B-A3B-InstructArchitecture=MoE, # Total Params=80B, # Activated Params=3B2026.0198——
BF16Model=Nemotron Nano V22026.0197.8——
NVFP4 PTQModel=Nemotron Nano V22026.0197.2——
NVFP4 QATModel=Nemotron Nano V22026.0197.2——
NVFP4 QADModel=Nemotron Nano V22026.0197.2——
LongCat-Flash-LiteArchitecture=MoE + NE, # Total Params=68.5B, # Activated Params=2.9B~4.5B2026.0196.8——
Critique-GRPOCritique Model=GPT-4o, Decoding budget=16,384 tokens2025.0696.4——
BF16Model=Llama Nemotron Super V12026.0195.8——
Gemini 2.5 Flash-Lite2026.0195.2——
NVFP4 QADModel=Llama Nemotron Super V12026.0194.6——
NVFP4 QATModel=Llama Nemotron Super V12026.0194.3——
Kimi-Linear-48B-A3BArchitecture=MoE, # Total Params=48B, # Activated Params=3B2026.0194.2——
R1-GRPOCritique Model=None, Decoding budget=16,384 tokens2025.0693——
Qwen3-32BCritique Model=None, Decoding budget=16,384 tokens2025.0691.8——
NVFP4 PTQModel=Llama Nemotron Super V12026.0191.4——
OracleType=Single LLM with Routing2026.0183.8——
Qwen2.5-Math-7B-InstructType=Single LLM2026.0180.7——
RouteMoAType=Ours2026.01764.0319.05
MoAType=Multi-LLMs2026.0173.619.6826.62
SMoAType=Multi-LLMs2026.0173.54.423.16
RouterDCType=Single LLM with Routing2026.0172.8——
Qwen2.5-Coder-7B-InstructType=Single LLM2026.0165.3——
RouteLLMType=Single LLM with Routing2026.0164.3——
Ministral-8B-Instruct-2410Type=Single LLM2026.0151——
Gemma-2-9B-itType=Single LLM2026.0146.5——
Bio-Medical-Llama-3-8BType=Single LLM2026.0111.7——