2026 AI Performance Matrix

Real-time benchmarking of 20 frontier models. Click any model to open its official source ↗

Rank / Model Developer Characteristics Intel Score Context Deployment
#1 Gemini 3.1 Pro GoogleMax Intel572,000,000Vertex AI
#2 GPT-5.4 (xhigh) OpenAISystem 2 Reasoning571,500,000Azure API
#3 GPT-5.3 Codex OpenAITop-Tier Coding56512,000Copilot Ent.
#4 Claude Opus 4.6 AnthropicReasoning Flagship55200,000AWS Bedrock
#5 Claude Sonnet 4.6 AnthropicEfficiency King54200,000Anthropic API
#6 GPT-5.2 (xhigh) OpenAIGeneralist MoE52128,000Cloud
#7 Gemini 2.5 Pro GoogleAdvanced Multi-modal511,000,000Vertex AI
#8 Grok 4.20 Beta xAIReal-time X.com512,000,000xAI Platform
#9 GLM-5 (Reasoning) Zhipu AILeading Open-Source50128,000BigModel.cn
#10 DeepSeek R2 DeepSeekEfficient Reasoning5064,000DeepSeek Hub
#11 Llama 4 Maverick MetaOpen-Weight MoE491,000,000Open Weights
#12 Mistral Large 3 Mistral AIEuropean Open48256,000La Plateforme
#13 Qwen3 Max AlibabaMultilingual SOTA48256,000Model Studio
#14 Kimi k2 Moonshot AIAgentic Long-Context47256,000Kimi API
#15 Command A CohereEnterprise RAG46256,000Cohere API
#16 Nova Pro 2 AmazonCost-Optimized45300,000AWS Bedrock
#17 Phi-5 MicrosoftSmall-Model SOTA44128,000Azure AI
#18 Yi-Large 2 01.AIBilingual Flagship43200,00001.AI API
#19 Reka Core 2 Reka AINative Multimodal42128,000Reka Platform
#20 DBRX-2 DatabricksData-Native MoE4164,000Mosaic AI