Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/kilo-org/kilocode/auto-modelgit clone --depth 1 https://github.com/Kilo-Org/kilocodeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00013 | $0.01807 |
| Opus 5 | $0.00006 | $0.00903 |
| Sonnet 5 | $0.00003 | $0.00361 |
| Haiku 4.5 | $0.00001 | $0.00181 |
Grade A, and why
auto-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto Model
Auto Model is a smart routing system that selects an underlying model for each request. Each tier uses its own routing strategy so you can balance cost and capability to fit your needs.
| Tier | Best For | Pricing |
|---|---|---|
kilo-auto/frontier |
Maximum capability with the best available models | Paid |
kilo-auto/efficient |
Lowest cost per task, with capability matched to difficulty | Paid |
kilo-auto/free |
The best free models available | Free |
How It Works
- Select an Auto Model tier (e.g.
kilo-auto/frontier) in the model dropdown - Start working in any mode (Code, Architect, Debug, etc.)
- The system automatically routes your requests to the best model for that task
That's it. No configuration needed.
You can see which underlying models are used, as well as the cost, in the expanded model picker. Model mapping information is also available on the Gateway Model page.
{% callout type="info" title="Models can change" %} The underlying models behind each Auto Model tier are updated server-side as better options become available or as providers change pricing and availability. The tier you select stays the same; the model it routes to may change over time. {% /callout %}
Tiers
- Frontier — Routes to the latest and most capable paid models. Uses different models for reasoning-heavy tasks (planning, architecture, debugging) versus implementation tasks (coding, building, exploring), pairing the right capability to each type of work.
- Efficient — Session-aware routing that classifies the difficulty of each request in real time and routes it to the cheapest model proven accurate enough for that task, based on Kilo's continuously-run benchmarks. Routine work stays lean while harder tasks get a more capable model. Because it watches your session in context, it keeps using a model across related turns and only switches when a cheaper option is clearly worth it. If a routing decision can't be made, it falls back to a fixed, cost-effective baseline model, so quality never drops below that baseline. A good default for most developers who want strong AI assistance without paying frontier prices.
- Free — Routes to the best available free models on OpenRouter, splitting traffic across them. Because free model availability shifts over time as providers change promotional periods, the mapping is updated server-side — you always get the best free option without having to track what's currently available. Quality will be lower than paid tiers, and the models may change over time.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 134 lines · 13 tokens per session scan A 0681bd318a5a
auto-model is an agent published in the GitHub repository Kilo-Org/kilocode (27,119 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 1,807 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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