In Development

OpenClaw Optimization Strategy
Benchmark dashboard + optimization suite

Compare every OpenClaw-supported model on real-world tasks, then apply proven optimizations to maximize quality and minimize cost.

Two Core Components

The Optimization Strategy combines public benchmark data with a hands-on optimization suite — giving you both the what and the how.

LLM Benchmark Dashboard

Public comparison data to help you choose the right LLM. See quality scores, speed metrics, cost per task, and use-case winners across every model OpenClaw supports.

View Benchmarks

Optimization Suite

Proven performance improvements with before/after data. See exactly which optimizations we applied and the measurable gains — quality up, cost down, efficiency up.

Optimization Results

LLM Benchmark Dashboard

Comparative performance data across all OpenClaw-supported models. Find the best model for your use case — whether you need raw quality, speed, cost efficiency, or a balanced option.

ModelQualitySpeed$/TaskBest For
GPT-5.3-Codex95/100Fast$0.12Code review
Claude Opus 4.692/100Slow$0.15Security
GLM-588/100Fast$0.04General
MiniMax M2.585/100Medium$0.06Balanced
Grok-487/100Fast$0.08Reasoning

Example data — live dashboard will update continuously with real evaluation results.

Optimization Suite

Proven performance improvements backed by data. We show exactly what we optimized, the before/after results, and the cost savings — so you can reproduce the gains.

Case Study: GLM-5 Optimization Results

Before

Quality75/100
Cost per task$0.08

After

Quality88/100
Cost per task$0.05
↑17%
Quality
↓37%
Cost
$30k
Annual Savings

Optimizations Applied

Context window tuning
Prompt template refinement
Thinking mode calibration
Fallback chain configuration

Key Features

Everything you need to benchmark models and optimize performance.

Live Benchmark Dashboard

Public comparison data across all OpenClaw-supported models — quality, speed, cost, and use-case winners.

Optimization Playbooks

Reproducible optimization recipes: prompting, context tuning, parameter calibration, and fallback chains.

Real-World Task Evaluation

Benchmark on tasks that matter — your actual workflows, not synthetic benchmarks.

ROI & Cost Savings

Before/after cost analysis with measurable savings. Know exactly what each optimization is worth.

Latency Profiling

Measure time-to-first-token and total completion time across providers and configurations.

Trend Tracking

Monitor how model performance changes over time as providers ship updates and we refine optimizations.

In Development

The Optimization Strategy — benchmark dashboard and optimization suite — is currently in development and will launch alongside VelvetGlove. Follow our progress on GitHub.

Launching with VelvetGlove