The business case
for private AI.
Real numbers from real benchmarks. Forward this to whoever needs convincing.
What you actually pay
Per-token pricing across providers, adjusted for real-world usage. Autark routes intelligently: simple queries go to cheap models, complex ones to capable models. Direct providers charge flagship rates for every request.
Estimate your monthly cost
~1M tokens/mo: daily AI use
Estimated: 25M tokens/month (25 users × moderate)
| Provider | Input $/M | Output $/M | Est. monthly |
|---|---|---|---|
| Autark FlashROUTED | $1 | $2 | $35 |
| Claude Sonnet 4.6 | $3 | $15 | $195 |
| Autark | $3 | $6 | $105 |
| GPT 5.4 | $2.5 | $15 | $188 |
| Gemini 3.1 Pro | $2 | $12 | $150 |
| Autark Deep | $5 | $10 | $175 |
| Claude Opus 4.7 | $5 | $25 | $325 |
| GPT 5.5 | $5 | $30 | $375 |
Pricing verified May 2026. Autark savings come from intelligent routing: 70%+ of requests go to models costing $0.15/M instead of flagship rates. Direct providers shown at published list prices.
Head-to-head against frontier models
Autark Deep evaluated across 22 public benchmarks: knowledge reasoning, long context, and agentic tasks including GDPval-AA. Same tasks, same scoring methodology.
Autark Deep #1 finishes
5/ 22
Avg. rank
2.2
GDPval-AA Elo
1,554
Benchmark wins (top score per task)
| Benchmark | Opus 4.6 Max | GPT-5.4 xHigh | Gemini 3.1 Pro High | Autark Deep | Rank |
|---|---|---|---|---|---|
| Knowledge & Reasoning | |||||
| MMLU-Pro (EM) | 89.1 | 87.5 | 91 | 87.5 | 3 |
| SimpleQA-Verified (Pass@1) | 46.2 | 45.3 | 75.6 | 57.9 | 2 |
| Chinese-SimpleQA (Pass@1) | 76.4 | 76.8 | 85.9 | 84.4 | 2 |
| GPQA Diamond (Pass@1) | 91.3 | 93 | 94.3 | 90.5 | 4 |
| HLE (Pass@1) | 40 | 39.8 | 44.4 | 37.7 | 4 |
| LiveCodeBench (Pass@1) | 88.8 | — | 91.7 | 93.5 | 1 |
| Codeforces (Rating) | — | 3,168 | 3,052 | 3,206 | 1 |
| HMMT 2026 Feb (Pass@1) | 96.2 | 97.7 | 94.7 | 95.2 | 3 |
| IMOAnswerBench (Pass@1) | 75.3 | 91.4 | 81 | 89.8 | 2 |
| Apex (Pass@1) | 34.5 | 54.1 | 60.9 | 38.3 | 3 |
| Apex Shortlist (Pass@1) | 85.9 | 78.1 | 89.1 | 90.2 | 1 |
| Long Context | |||||
| MRCR 1M (MMR) | 92.9 | — | 76.3 | 83.5 | 2 |
| CorpusQA 1M (ACC) | 71.7 | — | 53.8 | 62 | 2 |
| Agentic | |||||
| Terminal Bench 2.0 (Acc) | 65.4 | 75.1 | 68.5 | 67.9 | 3 |
| SWE Verified (Resolved) | 80.8 | — | 80.6 | 80.6 | 2 |
| SWE Pro (Resolved) | 57.3 | 57.7 | 54.2 | 58.6 | 1 |
| SWE Multilingual (Resolved) | 77.5 | — | — | 76.7 | 2 |
| BrowseComp (Pass@1) | 83.7 | 82.7 | 85.9 | 83.4 | 3 |
| HLE w/ tools (Pass@1) | 53.1 | 52 | 51.6 | 54 | 1 |
| GDPval-AA (Elo) | 1,619 | 1,674 | 1,314 | 1,554 | 3 |
| MCPAtlas Public (Pass@1) | 73.8 | 67.2 | 69.2 | 73.6 | 2 |
| Toolathlon (Pass@1) | 47.2 | 54.6 | 48.8 | 51.8 | 2 |
Source: Autark internal eval, June 2026. Compared against Opus 4.6 Max, GPT-5.4 xHigh, and Gemini 3.1 Pro High at maximum capability settings. Rank column shows Autark Deep placement among models with reported scores.
Capability vs. price
Autark Deep compared to frontier models at max capability settings: GDPval-AA Elo and list pricing side by side.
| Model | GDPval-AA Elo | Pricing |
|---|---|---|
Autark Deep Deep reasoning: sovereign infrastructure | 1,554 | $5/$10 per M |
GPT-5.4 xHigh Direct API: OpenAI flagship (max thinking) | 1,674 | $2.50/$15 per M* |
Opus 4.6 Max Direct API: Anthropic flagship (max effort) | 1,619 | $5/$25 per M |
Gemini 3.1 Pro High Direct API: Google flagship (≤200k ctx) | 1,314 | $2/$12 per M† |
GDPval-AA Elo from the agentic benchmark suite (June 2026). Competitors evaluated at max thinking/high capability: effective cost is often 2–3× list price due to thinking tokens. *GPT-5.4 xHigh includes extended reasoning. †Gemini pricing shown for prompts ≤200k tokens; doubles to $4/$18 per M above 200k.
What unprotected AI actually costs
Most businesses processing data through commercial AI tools without a signed DPA have live regulatory exposure. This often surfaces during M&A due diligence: the most painful moment to discover it.
GDPR Maximum Fine
Up to €20M
Or 4% of annual global turnover: whichever is higher: under GDPR Article 83(5).
CCPA Maximum Fine
$7,500
Per intentional violation, per consumer affected, under CCPA §1798.155.
Why this shows up in due diligence
Buyers and investors flag unresolved GDPR and CCPA exposure as quantified risk: it comes directly off your valuation. Even partial liability from unprotected AI workflows can stall a deal or force a price adjustment at the worst possible moment.
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