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 | $2 | $4 | $70 |
| Claude Sonnet 4.6 | $3 | $15 | $195 |
| GPT 5.4 | $2.5 | $15 | $188 |
| Gemini 3.1 Pro | $2 | $12 | $150 |
| 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. Autark Flash shown here; Pro and Ultra scale proportionally.
Tokens per second
Throughput matters when you're processing thousands of requests. Autark Flash runs on LPUs — purpose-built inference hardware that delivers 5× the throughput of traditional GPU APIs.
LPU inference, Groq — 5× faster than GPU APIs
Anthropic API — 52–82 tok/s measured
OpenAI API — 69–85 tok/s measured
Google Cloud — 2M context window
Anthropic API — reasoning-first, premium tier
OpenAI API — frontier reasoning model
Real prompt response times (May 2026 benchmark)
| Prompt | Tokens | Autark Flash | GPT 5.4 | Claude 4.6 |
|---|---|---|---|---|
| Email validation function | 180 in / 60 out | 550ms | — | — |
| CAP theorem explanation | 40 in / 120 out | 500ms | — | — |
| GDPR compliance analysis | 80 in / 250 out | 1.2s | — | — |
| Financial valuation calc | 100 in / 300 out | 1.5s | — | — |
GPT 5.4, Claude Sonnet 4.6, and Gemini 3.1 Pro results coming — same prompts, same parameters. Autark Flash tested on Groq LPU inference, May 22 2026.
Quality across tasks
Nine tasks across coding, analysis, legal, finance, creative writing, and marketing. Scored by an independent LLM judge on correctness, completeness, clarity, and overall quality. Same prompts, same rubric.
Autark models — scored and verified
| Model | Quality Score | Latency | Pricing |
|---|---|---|---|
Autark Flash Curated routing — best model per task | 93/100 | 750ms | $2/$4 per M |
Autark Pro Zero Data Retention — reasoning included | 92/100 | 950ms | $3/$6 per M |
Autark Ultra SOTA reasoning — hosted infrastructure | 86/100 | 8.0s | $5/$10 per M |
Coming next
We're running the same 9-task benchmark against GPT 5.4, Claude Sonnet 4.6, Claude Opus 4.7, and Gemini 3.1 Pro. Same prompts, same LLM judge, same rubric.
GPT 5.4
Direct API — no routing
$2.50/$15 per M
PENDINGClaude Sonnet 4.6
Direct API — no routing
$3/$15 per M
PENDINGGemini 3.1 Pro
Direct API — no routing
$2/$12 per M
PENDINGClaude Opus 4.7
Direct API — no routing
$5/$25 per M
PENDINGGPT 5.5
Direct API — no routing
$5/$30 per M
PENDINGBenchmarked May 22 2026 using Autark Eval Engine v3 with Llama 3.1 8B as judge. Tasks: code execution, analysis, legal reasoning, financial calculation, creative writing, marketing copy. Full methodology available on request.
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
€20,000,000
Higher of €20M or 4% of annual global turnover under GDPR Article 83(5).
CCPA Maximum Fine
$7,500,000
$7,500 per intentional violation under CCPA §1798.155.
Total worst-case exposure
€27,500,000
Even a fraction of this materialises in a due diligence process. Buyers and investors flag unresolved GDPR and CCPA exposure as quantified risk — it comes directly off your valuation.
Ready to run the real numbers
with your data?
We'll model your actual stack and send you a personalised report.