No single model wins every task
Route by scenario instead
Sol is powerful but expensive, Terra balanced, and Chinese flash models such as DeepSeek or GLM are cheapest for high-frequency chores. Claude excels at deep reasoning. Put the right model on the right job and improve both quality and cost 2-4x.
Updated 2026-10-08
Why active routing matters
In 2026 top models are within ~5% on core benchmarks. The real gap comes from assigning the right model to the right task. Blindly using the flagship wastes money; always using the cheapest causes critical failures. Routing is the highest-leverage lever available today.
Task-to-model decision matrix (July 2026 snapshot · re-checked 2026-09-21)
| Task type | Recommended | Alternative | Rationale |
|---|---|---|---|
| Architecture calls / complex refactors | Claude Opus 4.8 / GPT-5.6 Sol | Claude Sonnet 4.6 | Long-horizon reasoning across files |
| Everyday feature work | GPT-5.6 Terra | Claude Sonnet 5 | Balances quality, speed and round-trip cost |
| Autocomplete / high-frequency small tasks | DeepSeek V4.1 Flash / GLM-5.3 Flash | A small local model | Latency and per-call cost come first |
| Multimodal (screenshots, mockups) | GPT-5.6 Sol | Claude (check the docs) | Confirm image-input support per vendor docs |
| Terminal agent / command execution | GPT-5.6 Sol | Claude Code | Works from the shell |
This table is task→model routing advice, not QCode's sell list; before you buy, check /models and each vendor's docs (checked 2026-09-21).
How to implement routing in practice
Two common approaches, both zero extra cost on QCode:
Client-side rule switching (recommended)
Use simple if rules in Codex/Claude Code config or wrapper: refactor tasks → Sol, daily work → Terra, high-frequency chores → a Chinese flash model such as DeepSeek V4.1 Flash (via Claude Code; Codex's Responses protocol does not support Chinese models yet). One /model or model= parameter.
Lightweight proxy / gateway
Build or adopt an open router that picks model based on prompt length, keywords or past success rate. QCode handles unified billing and metering.
QCode makes routing trivial
One key, one quota, one dashboard for all model usage. Send model=gpt-5.6-sol when you need power, switch to terra when you want to save. No need to juggle multiple keys or invoices.
Model routing FAQ
Does routing add latency?
Static if-rules add near-zero overhead. Dynamic routers add 10-30 ms of decision time — negligible compared to model inference. QCode optimized endpoints keep perceived latency stable.
Will mixing models break context or billing?
Context is maintained client-side; switching models does not drop history. Billing is per actual model called. All tiers share the same quota pool; the dashboard lets you slice usage by model.
How often should the routing policy be updated?
Keep a simple capability-cost-speed table and review every 1-2 months when new tiers drop. QCode /models page shows live pricing so adjustments are fast.
Is the effort worth it for a small team?
Absolutely. Teams burning $50/day typically save 30-50% with sensible routing. The saved budget can be used to run more Sol-level deep work, often increasing overall delivery speed.
One key, route anywhere
One QCode plan, one key — route each task to Claude Code or Codex. From $8.57/mo.