Step-by-step guides for running Google's Gemma 4 locally on your own hardware
Context optimization for production AI
Stage
Established
MVP
Founded
Not given
Not given
Based in
Not given
GB
Pricing model
Free
Freemium
Pricing
Not given
Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams.
Key features
Hardware Compatibility Checker tool
Command Generator for Ollama and LM Studio
Model Picker with benchmark-backed reasoning
26+ hands-on deployment guides for various hardware
Memory requirement formulas and quantization analysis
Real-world performance benchmarks on consumer hardware
Offline inference capability
Model comparison with Qwen 3.5
OpenAI-compatible API support
256K context window support
Removes duplicate context and off-topic results
Works with any LLM provider
API and SDK integrations
Quality guard checks if kept context is sufficient
Local cleanup of tool output and JSON fields
Fallback to original context on service failure
Per-agent budgets and token limits
Savings report showing cost avoided
What makes it different
Hands-on testing with verified numbers instead of paraphrased release notes
Concrete metrics from real consumer hardware
Independent, single-author publication with no editorial team or content farm
Interactive tools that deliver instant answers in seconds
Transparent methodology with traceable calculations and cited sources
Reduces input tokens to LLMs by 56–71% on average
Optimizes in milliseconds without slowing requests
Gemma4All
Contextwaise