Splicer · premium Nyquest feature
Ask once. Compare multiple AI models. Get a consensus-backed answer.
Nyquest Splicer runs a single prompt across multiple AI models in parallel, streams each model's response, then generates a consensus answer showing where models agree, where they diverge, and which answer is most reliable.
How it works
Consensus-backed — a stronger signal across models, not a guarantee of truth.
Consensus Engine
Agreement, dominant position, synthesized answer, and divergence points — in one card.
Why Splicer
Run the same query across multiple AI models at once instead of trusting one model blindly.
Nyquest analyzes model agreement, the dominant position, a synthesized answer, and the divergence points.
View each model's response alongside its token usage, latency, and cost.
Ideal for research, legal review, technical planning, business strategy, compliance checks, and complex decisions.
Splice across models from the available Nyquest / OpenRouter catalog, with tier-based access controls.
Compression reduces prompt waste before fan-out, helping control costs when multiple models run at once.
See it in action
› "Compare the risks of launching this AI product in healthcare and finance."
Cautious regulatory analysis — emphasizes HIPAA, audit trails, and approval gates before scale.
1,240 tok · 2.1s · $0.004
Product-market and compliance framing — phased rollout with clear accountability owners.
1,090 tok · 1.8s · $0.005
Broad market and operational risk — surfaces vendor, data-residency, and uptime concerns.
1,310 tok · 2.4s · $0.003
Technical and cost-risk breakdown — inference cost, latency budgets, and failure modes.
980 tok · 1.6s · $0.001
Consensus Engine
Launch with controlled pilots
Regulatory timing & compliance burden
Start with low-risk workflows, human approval in the loop, and industry-specific guardrails. Run controlled pilots in both healthcare and finance before broad rollout, and stage compliance work to the regulatory timeline of each sector.
Illustrative example. Splicer surfaces a higher-confidence, consensus-backed answer — it does not guarantee correctness.
Availability
| Plan | Splicer capacity |
|---|---|
| Free | Upgrade required to run Splicer |
| Pro | Up to 4 models per prompt |
| Teams | Up to 6 models per prompt |
| Enterprise | Expanded model workflows — options available |
Splice your most important prompts across multiple models and let the Consensus Engine show you the strongest answer.