# Neural Nova – GPU optimization benchmarks for LLM workloads > Source: > Published: 2026-09-10 20:30:50+00:00 # Performance Benchmarks Explore Optimized AI models recipes across GPUs, frameworks, and deployment configurations. BENCHMARKED MODELS REASONING vLLM · 8× NVIDIA H100-80GB ### Qwen3-235B-A22B +138.7% token/s +58% Cost Savings Qwen3-235B-A22B · benchmark REASONING vLLM · 8× AMD Instinct MI325X ### GLM-5.2 +26.8% token/s +21.1% Cost Savings GLM-5.2 · benchmark MULTI-MODAL vLLM · 1× NVIDIA H100-80GB ### Gemma-4-31B-it +66.0% token/s +40% Cost Savings Gemma-4-31B-it · benchmark OPEN-WEIGHT vLLM · 1× NVIDIA H100-80GB ### GPT-OSS-120B +24.5% token/s +20% Cost Savings GPT-OSS-120B · benchmark PRODUCTION-READY PERFORMANCE ## Benchmark with confidence. Deploy with clarity. Use validated performance data to select the right model for your production workload. Talk to Our Team