[ MANIAC ]
high throughput
task specialized
background agents
Outperform Opus 4.6 on your niche domain tasks.
1/100 the cost of large frontier models, so your agents can run 24/7.
Benchmarks
Cost per 1M input tokens on background agent workloads. Quality measured against Claude Opus 4.6 on domain-specific evaluation suites.
| Provider | Cost / 1M input tokens | p50 Latency | Quality vs Opus |
|---|---|---|---|
| Claude Opus 4.6 | $15.00 | 2.1s | baseline |
| GPT-5.2 | $10.00 | 1.4s | 94.2% |
| GPT-4.1 | $2.00 | 620ms | 87.1% |
| Maniac Optimized | $0.10 | 340ms | 99.1% |
SMART ROUTING
Every request is routed to the optimal model variant. When an optimized model outperforms your flagship, routing switches seamlessly. Zero code changes.
AUTO OPTIMIZATION
Maniac runs continuous experiments on your production traffic—fine-tuning, distillation, compression—and auto-promotes winners.
CUSTOM EVALS
Define what "better" means for your domain. Plug in custom judges, human feedback, or task-specific metrics. We optimize against your real objective.
How it Works
Three steps. No AI team required. A few engineering hours to get started.
Point your agents at Maniac
Swap your API endpoint. Maniac exposes an OpenAI-compatible interface—your existing code, SDKs, and frameworks work unchanged.
We optimize automatically
Maniac captures production traffic, builds domain-specific training sets, and runs continuous experiments. Winners are promoted automatically.
Ship frontier quality at 1% cost
Optimized models go live through seamless routing. Your agents get frontier-quality responses. Models only get better over time.
Built for Scale
Background agents running millions of tasks need Opus-quality reasoning without the Opus-quality price tag.
Millions of documents. Opus-quality parsing.
Extract structured data from PDFs, contracts, and invoices at massive scale. Background agents process documents around the clock—Maniac ensures every extraction is Opus-quality at a fraction of the cost.
Millions of predictions. Frontier accuracy.
Score leads, forecast demand, or predict churn at massive throughput. Task-specialized models outperform general-purpose frontier models on your specific prediction tasks—at a fraction of the cost.
High-volume labeling and routing.
Classify support tickets, moderate content, or triage alerts at 10M+ events per day. Maniac-optimized models match Opus accuracy on your specific taxonomy.
Limits
Real numbers from production deployments.
| Metric | Observed in Prod | Current Limit |
|---|---|---|
| Max throughput (global) | 10M+ calls/day | Unlimited |
| Max throughput (per container) | 500K+ calls/day | 1M calls/day |
| Max concurrent requests | 50K+ | Unlimited |
| Optimization cycle time | ~4 hours | Configurable |
| Model variants per container | 12+ | 50 |
| Quality match vs Opus 4.6 | 99.1% | — |
| p50 latency | <400ms | — |
| p99 latency | <1.2s | — |
| Max context window | 128K tokens | 128K tokens |
| Uptime SLA (Enterprise) | 99.97% | 99.9% |
Engineering Blog
Deep dives on model optimization, agent throughput, and the economics of running intelligence at scale — plus updates from the Maniac team.
Autonomously Beating GPT-5.2 and Gemini 3 Pro in Prediction Accuracy, with 30x Cheaper Inference for Commerce AI
Our autonomous pipeline took production traffic hooks as input and output frontier-beating Small Language Models — no ML team required. Here's how it works, and why it generalizes to any predictive task.
Limitations of Together and Fireworks finetuning (and why autonomous finetuning can win)
Managed finetuning reduces setup time, but it can bottleneck iteration and portability. Here’s what breaks in practice—and how autonomous finetuning can lower total cost, including inference.
[ GET STARTED ]
Start shipping
in minutes
OpenAI-compatible API. No infrastructure changes. Start free, scale to millions of agent calls.
$ pip install maniac $ maniac init --container my-extraction-agent ✓ Container created: my-extraction-agent ✓ Initial model: openai/gpt-5 ✓ Endpoint: https://api.maniac.ai/v1 $ maniac status ┌─────────────────────────────────────────────┐ │ Container: my-extraction-agent │ │ Status: ● active │ │ Model: maniac-opt-v3 (promoted) │ │ Quality: 99.1% vs opus 4.6 │ │ Cost: $0.75 / 1M tokens │ │ Calls: 2.4M today │ └─────────────────────────────────────────────┘