The right model for every request. Automatically.
Engineering teams default to frontier models for everything — and overpay for 70% of requests. Auto Model routes each task to the best model for the job. One model ID. Zero configuration.
No credit card · No sales call
One model ID. Smart routing underneath.
Change one line in your config. Auto Model handles the rest — invisibly.
Your agent
Claude Code, Cursor, Codex…
MegaBrain Auto
Request analysis + routing
Best model
From 500+ options
You send a request
Your coding agent sends a normal OpenAI-compatible chat completions request to the MegaBrain Gateway endpoint.
Gateway analyses context
The gateway reads the request type, conversation length, tool usage, and mode to classify the task.
Best model is selected
The right model from the curated tier pool is selected — based on task type, current availability, and cost-performance ratio.
Response returned transparently
The response arrives in standard OpenAI format. Your application never needs to know which model was used.
// Before — always frontier model: 'anthropic/claude-opus-4-8' // After — intelligent routing model: 'auto-balanced' // that's it
Match routing to your needs
auto-frontierAuto Frontier
Max capability, always
Every request routed to the most capable available model. For complex reasoning, architecture decisions, and novel problem-solving where quality is the only variable.
Best for
auto-balancedAuto Balanced
Best default for daily dev
Routes to a cost-effective paid model matched to the request type. 73% lower cost than always-frontier with no measurable quality regression on routine development tasks.
Best for
auto-freeAuto Free
Zero cost, no card needed
Routes across the best available free models, updating server-side as availability changes. Start immediately — no payment information required.
Best for
73% lower cost.
Same output quality.
70% of coding agent requests don't need a frontier model. Docstrings, type fixes, simple completions, test scaffolding — capable mid-tier models handle these identically, at a fraction of the cost.
Auto Balanced routes these tasks automatically. Planning, architecture, and complex debugging still go to capable paid models. You never think about the split.
Monthly inference cost
10-person team · 10M input tokens/month
Auto Balanced saves 73% vs always-frontier with no measurable quality regression on routine tasks.
Why not the alternatives?
| Approach | The catch |
|---|---|
| notDiamond | Enterprise sales, Calendly demo, no self-serve |
| Manual routing | You pick a model per request — cognitive overhead, inconsistency |
| Always frontier | Simple but expensive — $487/mo for 10 engineers vs $131 with Auto Balanced |
| MegaBrain Auto Model | Instant API access, no sales call, 73% avg cost savings, zero code changes required |
Stop paying for tokens you don't need.
Switch to auto-balanced in your next commit. No sales call. No contract. Start free.
Free models available immediately · No credit card required