Smarter than any single model.
Here are the numbers.
Real numbers from real benchmarks. Forward this to whoever needs convincing.
Beats the best single model
682 tasks across reasoning, math, language, data analysis, and instruction following. The 85.7% is Autark's combined output: not any single open model, but the best model for each task.
85.7%
Autark
85.0%
best single model
More than double the best single model
223 expert knowledge-work tasks across 30 categories. No single model dominates: 39% of tasks were passed by exactly one model. When each task is matched to the model proven best at it, you recover nearly 40% of what a single model leaves on the table.
KWBench is Autark's own benchmark, run and published openly.
54%
Autark
22.6%
best single model
What you actually pay
Simple tasks never touch expensive models. Complex reasoning gets the power it needs. The result is about a fifth of the cost of the frontier's best, at near-frontier quality.
Estimate your monthly cost
~25M tokens/mo: daily agent use
Estimated: 625M tokens/month (25 users × moderate)
| Model | Input $/M | Output $/M | Est. monthly |
|---|---|---|---|
| Autark Agent | $1.2 | $3 | $1,200 |
| Autark Pro | $2.5 | $5.5 | $2,313 |
| Autark Deep | $4 | $8 | $3,500 |
| Frontier | |||
| Claude Sonnet 5 | $2 | $10 | $3,250 |
| GPT-5.6 Sol | $4 | $20 | $6,500 |
| Claude Opus 5 | $5 | $25 | $8,125 |
| Claude Fable 5 | $10 | $50 | $16,250 |
| OpenAI Astra | $10 | $50 | $16,250 |
Rates are list prices per 1M tokens, billed on real usage. Input and output are charged separately; the estimate above assumes a 60% input / 40% output mix.
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