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Benchmarking & Evaluation

How to Evaluate AI Agents in Production

Llama 4 Scout on SWE-bench Lite (SWE-agent): 4.0% accuracy

Llama 4 Maverick on Humanity's Last Exam: 6.2% accuracy

Qwen2.5 72B Instruct on AIME 2025: 6.7% accuracy

The Operator Path: Running LayerLens in Production

From LangSmith to Stratix: A Migration Guide for Eval Pipelines

Judge Optimization with GEPA: How to Tune LLM Evaluation Prompts at Scale

Gemini 3.1 Flash Lite Preview on Humanity's Last Exam: 8.5% accuracy

How to Evaluate AI Models on SambaNova Cloud with LayerLens

Gemini 3.1 Flash Lite Preview on Terminal-Bench (Terminus-2): 17.5% accuracy

Llama 4 Maverick on AIME 2025: 20.0% accuracy

GPT-5 on Humanity's Last Exam: 21.7% accuracy

Claude Opus 4.7 on Humanity's Last Exam: 30.8% accuracy

DeepSeek V4 Flash on BIRD-CRITIC: 32.7% accuracy

Kimi K2.6 on BIRD-CRITIC: 33.3% accuracy

Claude Opus 4.6 on BIRD-CRITIC: 34.0% accuracy

RAG Evaluation Best Practices: A Complete Framework

Why AI Benchmarks Are Misleading (And What to Use Instead)

GPT-5 (high) on Terminal-Bench (Terminus-1): 46.2% accuracy

GPT-5.4 Benchmark Review: What Stratix Data Shows Across the Full Model Family

Claude Opus 4.6 on Terminal-Bench (Terminus-2): 58.8% accuracy

LLM Evaluation Frameworks: How to Choose the Right Approach

GLM-5 Benchmark Review: 20 Eval Runs, 13 Benchmarks, and the Data That Changed Between February and March

Claude Opus 4.5 on AIME 2025: 63.3% accuracy

Claude Opus 4.6 on AIME 2025: 70.0% accuracy

Claude Opus 4.7 on AIME 2026: 90.0% accuracy

GPT-5 (high) on AIME 2025: 90.0% accuracy

LLM Cost Optimization: What Actually Drives Production Spend

Gemini 3.1 Pro Benchmark Review: What 14,549 Tests Actually Reveal

DeepSeek V4 Pro on AIME 2026: 96.7% accuracy

LLM Observability for Production AI Systems

LLM Evaluation Framework for Enterprise AI

LayerLens and Subquadratic Announce Partnership to Enable Continuous, Transparent Evaluation of SubQ Models

Llama 4 Scout on Humanity's Last Exam: 4.3% accuracy

MLflow gives you the eval library. Production needs the platform.

Claude Opus 4.1 on Humanity's Last Exam: 7.3% accuracy

The Researcher Path: Evaluate Any AI Observability Platform in 56 Minutes

AI Evaluation Glossary: 25 Terms Every ML Team Needs in 2026

What Is Continuous Evaluation? A Working Definition for Production AI Teams

Advanced Agent Evaluation Patterns

Llama 4 Maverick on Terminal-Bench (Terminus-1): 8.8% accuracy

Gemini 3.1 Flash Lite Preview on Terminal-Bench (Terminus-1): 17.5% accuracy

GPT-5 (high) on Humanity's Last Exam: 21.4% accuracy

Claude Opus 4.1 on AIME 2025: 26.7% accuracy

Gemini 3.1 Pro Preview on Terminal-Bench (Terminus-1): 32.5% accuracy

Llama 4 Scout on LiveCodeBench: 33.2% accuracy

GPT-5 on Terminal-Bench (Terminus-1): 33.8% accuracy

Claude Opus 4.7 on BIRD-CRITIC: 36.3% accuracy

When Agents Fail: Why Evaluation Must Be Continuous

GPT-5 (high) on Terminal-Bench (Terminus-2): 42.5% accuracy

GPT-5 on SWE-bench Lite (SWE-agent): 47.3% accuracy

GPT-5 (high) on SWE-bench Lite (SWE-agent): 51.7% accuracy

Claude Opus 4.6 on SWE-bench Lite (SWE-agent): 62.7% accuracy

How to Evaluate AI Agents: Methods, Metrics, and Real-World Pitfalls

Claude Opus 4.1 on LiveCodeBench: 62.8% accuracy

Gemini 3.1 Flash Lite Preview on LiveCodeBench: 69.9% accuracy

Claude Opus 4.5 on LiveCodeBench: 76.8% accuracy

GLM 5.1 on AIME 2025: 90.0% accuracy

Moltbook Proved That the AI Agent Revolution Has a Governance Problem, Not a Readiness Problem

GLM 5.1 on AIME 2026: 93.3% accuracy

DeepSeek V4 Flash on AIME 2026: 96.7% accuracy

LLM Hallucination Detection in Production

AI Red Teaming for LLMs in Production

LLM Evaluation Metrics for Production Systems

Qwen2.5 72B Instruct on Humanity's Last Exam: 3.7% accuracy

AI Teams Are Repeating the Biggest Mistake in Software History

Llama 4 Scout on AIME 2025: 6.7% accuracy

Llama 4 Maverick on SWE-bench Lite (SWE-agent): 8.0% accuracy

The Builder Path: From First Trace to Production-Grade AI Evaluation

Step-Level Evaluation vs Output-Level Evaluation for AI Agent Traces

AgentGraph is Live: See Every Decision Your Agent Made

Llama 4 Scout on Terminal-Bench (Terminus-1): 8.8% accuracy

Claude Opus 4.5 on Humanity's Last Exam: 13.6% accuracy

Claude Opus 4.6 on Humanity's Last Exam: 18.6% accuracy

The Cost of Not Evaluating Your AI Agents

Gemini 3.1 Flash Lite Preview on AIME 2025: 30.0% accuracy

LLM Evaluation Metrics: What to Measure and Why

Q1 2026 Frontier Model Report: What the Release Cycle Broke in Your Evaluation Stack

What Is LLM Evaluation? The Complete Guide for 2026

Gemini 3.1 Pro Preview on Humanity's Last Exam: 40.6% accuracy

Xiaomi MiMo-V2 Evaluation: Benchmark Results Across 7 Tests on Stratix

Llama 4 Maverick on LiveCodeBench: 45.4% accuracy

Claude Opus 4.5 on SWE-bench Lite (SWE-agent): 49.3% accuracy

Kimi K2.6 on AIME 2025: 56.7% accuracy

AI Agent Testing: From Unit Tests to Production Monitoring

Partner Evaluation Spaces: Benchmark Models on Fireworks AI and Nebius Infrastructure

Kimi K2.6 on AIME 2026: 63.3% accuracy

Gemini 3.1 Flash Lite Benchmark Results vs. GPT-5 Nano, Qwen3.5: Efficiency Model Comparison

GPT-5 on LiveCodeBench: 81.7% accuracy

Introducing Judge Optimization on Stratix Enterprise: Close the Gap Between Automated Scores and Human Judgment

Gemini 3.1 Pro Preview on AIME 2025: 93.3% accuracy

AI Quality Assurance for LLM Systems: Why Traditional QA Breaks

GPT-5 on AIME 2025: 96.7% accuracy

AI Model Comparison in Production

RAG Evaluation Framework for Production AI Systems

LLM Evaluation Framework for Production