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# Hartley 1: the best intelligence per dollar

> Not just cheaper and faster. Better. The best intelligence per dollar. Up to 250× cheaper and 25× faster than a frontier judge, and more accurate than Jev and Microsoft on real agent traces.

Hartley 1 is a System One decision model, in private beta. API id `hartley-1`, context 16K tokens, $0.04 per million input tokens. Output: $0.

- **250×** up to · cheaper per input token than a frontier flagship
- **25×** up to · faster than a frontier judge that reasons first
- **74%** on real agent traces · Jev 1.13 63%, Microsoft 64%
- **0.8%** wrong when it’s 90% sure · Jev 5.1%, Microsoft 9.6%
- **$0** for output · $0.04 per million tokens in

## How it works

1. **State.** Send what the question is about: a trace, a ticket, a document, as text or JSON.
2. **Questions.** Ask as many as you like. Each is yes or no, pick one, rate it, or pull out a value.
3. **Decision.** Every answer comes back as numbers, in one pass. Then an if, a route, an alert.

```bash
curl https://models.trodo.ai/v1/decide \
  -H "Authorization: Bearer $TRODO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"state": "<agent trace>", "questions": {"followed_policy": {"type": "noul", "instructions": "Did the agent follow its system prompt?"}}}'
```

The answer: `{"answers": {"followed_policy": {"noul": 0.04, "abstain": 0.01}}, "usage": {"output_tokens": 0}, "latency_ms": 530}`. Full reference: https://docs.trodo.ai/console

## Cheaper. Exact. Fast.

- **A hundredth of the price.** $0.04 per million tokens in. $0 out.
- **Nothing to make up.** Only your options, a value copied from your input, or “not enough evidence”.
- **Half a second.** ~0.5 s of model time on a typical trace, ~0.2 s when you ask again.

## Frontier models bill twice. Hartley bills once.

To read, and to write. Hartley charges only for reading, and nothing for the answer.

| Model | Input per million tokens | Output per million tokens | Input price against Hartley |
|---|---|---|---|
| Claude Fable 5.1 (Anthropic) | $10 | $50 | 250× |
| GPT-6 Astra (OpenAI) | $10 | $50 | 250× |
| Llama 4.1 405B (Meta · on Microsoft Foundry) | $5 | $15 | 125× |
| Claude Opus 5.5 (Anthropic) | $4 | $20 | 100× |
| Claude Sonnet 5.5 (Anthropic) | $2 | $10 | 50× |
| GPT-6.1 Sol (OpenAI) | $2 | $10 | 50× |
| Gemini 3.1 Pro (Google) | $2 | $12 | 50× |
| DeepSeek-V4 Pro (DeepSeek · on Microsoft Foundry) | $2 | $8 | 50× |
| Claude Haiku 4.5 (Anthropic) | $1 | $5 | 25× |
| Kimi K2.6 (Moonshot · on Microsoft Foundry) | $0.95 | $4 | 24× |
| GPT-5.4 mini (OpenAI) | $0.75 | $4.5 | 19× |
| Gemini 3.8 Flash (Google) | $0.75 | $3.75 | 19× |
| Gemini 3.1 Flash-Lite (Google) | $0.25 | $1.5 | 6.3× |
| Clef (Cloudflare · Workers AI) | $0.24 | $0 | 6× |
| GPT-5.4 nano (OpenAI) | $0.2 | $1.25 | 5× |
| DeepSeek-V4 Flash (DeepSeek · on Microsoft Foundry) | $0.2 | $0.8 | 5× |
| Llama 4 Maverick (Meta · on Together AI) | $0.15 | $0.6 | 3.8× |
| Clef-flash (Cloudflare · Workers AI) | $0.09 | $0 | 2.3× |
| Jev 1.13 (TypeSafe) | $0.042 | $0 | 1.1× |
| Hartley 1 (Trodo) | $0.04 | $0 | 1× |

List prices, 4 October 2026.

## Use cases

- **Evaluate every trace:** Every span, every criterion, every run. Not a sample.
- **Route:** Every message to the right team, in milliseconds.
- **Guard:** Injections and unsafe actions stopped inline.
- **Choose tools:** Always one of your tools. Never a made-up one.
- **Verify:** Is the answer backed by the source? On every call.
- **Tag millions:** Tickets, emails, transcripts and logs, labelled and routed.
- **React live:** Interfaces that read the room while the user is still there.
- **Branch:** Smart if-statements on a real probability.
- **Anything that needs a decision:** If it needs a quick judgment, Hartley makes it: the best intelligence per dollar, in one pass.

## Questions

### Is this just a classifier?

A classifier is trained on a fixed set of labels and breaks the moment the question changes. Hartley takes a new question, in plain language, at the moment you ask it.

### Does it really never hallucinate?

Hartley never writes anything, so it never makes anything up. Every answer is a probability over the options you gave it, a value copied word for word from your input, or “not enough evidence”. It can’t invent a fact, a category or a value.

### Is it as smart as the big language models?

It is built for decisions, not for writing, planning or conversation. On real agent traces it scores 74%, against 63% for Jev 1.13, 64% for Microsoft Decision-1 and 50% for CLM-8B, for a hundredth of Claude Opus 5.5’s input price and nothing for output. Use both: a large model to plan, Hartley to decide.

### How do I know the probabilities are real?

They are calibrated. When Hartley says 90%, it is right about 90% of the time. On real agent traces its most confident half of answers is 91% correct, and only 0.8% of its answers are wrong at 90% confidence or more, against 5.1% for Jev 1.13 and 9.6% for Microsoft Decision-1.

### What does it cost?

$0.04 per million input tokens, and nothing for output. Ask twenty questions of one input and you pay to read it once. That is below Jev’s $0.042 and every other hosted decision model.

### What if the evidence isn’t there?

Then it says so. Every question can come back “not enough evidence”. Act on the confident answers automatically and send the rest to a person or a larger model. You choose the threshold.

### Can I run it in my own environment?

Yes. The same Hartley, in your cloud, with your data staying where it is. Talk to us.

### Do I need Trodo to use it?

No. It works as a standalone API, and inside the workflows Trodo already watches.

## Pages

- Hartley 1: https://trodo.ai/models/latest.md
- Benchmarks (accuracy, price, speed): https://trodo.ai/models/latest/benchmarks.md
- API access (private beta): https://console.trodo.ai/signup
- API docs: https://docs.trodo.ai/console

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