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Not one AI model. The right one, every time.

Betting on a single AI provider was always a fragile strategy. GearHead routes every task to the best-suited model from Anthropic, OpenAI, Google, DeepSeek, and Groq. When better models ship, your routing gets smarter automatically. You never have to migrate.

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Six months ago, GPT-4 was the best general model. Then Claude pulled ahead on careful reasoning. Then Gemini won on long context. Then DeepSeek shifted the cost equation. The frontier moves every quarter, and any product locked to one provider is locked to that provider's curve.

GearHead's IntentRouterV4 analyzes every request and picks the best model for that specific task. Legal contract review goes to Claude. Long PDF analysis goes to Gemini. High-volume routine work goes to DeepSeek. Code generation gets routed by language and task type. Voice agent responses go to whichever model has the lowest latency at the moment.

On high-stakes outputs (document review, compliance checks, contract analysis), GearHead runs multi-model consensus: multiple models work on the same task in parallel, and only conclusions that multiple models agree on surface to you. Hallucinations have to survive three checks instead of one.

The routing model, explained

How the platform decides which AI handles what.

Intent classification first

Every request is classified by intent: legal research, code generation, customer email, long-doc analysis, brainstorming, factual lookup, image generation, voice response. Classification is fast and runs on a small dedicated model.

Model selected by fit

Each model has a profile: strengths, latency, context window, cost per token, current health. The router picks the best match for the intent. Claude for nuance and careful reasoning. GPT for general work. Gemini for long context. DeepSeek for cost-efficiency. Groq for low-latency voice.

Multi-model consensus on high stakes

Document Review, compliance checks, contract drafting, and other high-stakes outputs run through multiple models in parallel. Conclusions only surface when multiple models agree. Disagreements are flagged for human review instead of confidently presented.

Automatic upgrades

When providers release new models, the platform evaluates them against the existing fleet and adopts the better ones automatically. You got Claude 4.6 when it shipped. You got GPT-5 when it shipped. You will get whatever comes next, without changing anything.

Override controls

You can pin specific models for specific task types. Pin Claude for all legal work. Pin Gemini for long-doc analysis. Set quality-vs-cost preferences at the account level. The default routing is good. The overrides are for the cases where you have a strong opinion.

Transparency on routing

Every response shows which model handled it, with one click for cost, latency, and routing rationale. No black box. You can see why a particular model was chosen and override the decision for next time.

Model fleet

The current generation of models GearHead routes across. This list updates as providers ship new models.

Claude (Anthropic)
Claude Sonnet 4.6 for daily nuanced work. Claude Opus 4.7 for legal, medical, and other high-stakes reasoning (Premium add-on). Claude Haiku 4.5 for cost-efficient routine tasks. Strong on careful reasoning, document analysis, and reducing hallucinations.
GPT (OpenAI)
GPT-5 for general work and high-volume agentic synthesis across multiple tools. GPT-5 mini for cost-efficient classification and routing. Strong on tool use and structured output.
Gemini (Google)
Gemini 3.1 Pro for long-context analysis (multi-hundred-page documents, large codebases). Gemini 3 Flash for fast intent routing. Imagen 4 for image generation. Veo 3 for video. Strong on multimodal and long-context.
DeepSeek
DeepSeek V4 for cost-efficient general work (the default for routine routine tasks). DeepSeek Coder V4 for code generation. Significantly lower per-token cost than frontier models with quality close to GPT-5 mini.
Groq
Hardware-accelerated inference for sub-1200ms voice agent responses, real-time transcription, and other latency-critical workloads. Runs Llama and Mixtral models on custom silicon.
Specialized models
Cartesia Sonic-3 for voice synthesis. ElevenLabs for character voices. AssemblyAI for meeting transcription with speaker diarization. Kling and Nano Banana for additional video and image generation.
Routing latency
Intent classification adds under 200ms to the pipeline. For voice and chat, the user does not perceive the routing decision. For background routines and Document Review, the routing overhead is irrelevant against the total task time.
Consensus depth
High-stakes tasks run on 2-3 models in parallel. The router weights model confidence and surfaces agreement-based conclusions. Disagreements are flagged with the differing positions for human judgment.
Cost model
Default routing optimizes for value, not raw cheapness. Premium Models add-on unlocks unlimited use of frontier models for Pro and Teams plans. Personal plan uses default routing only.
Future-proofing
The routing layer is the abstraction that lets you not care which provider wins next year. You stay on GearHead; we adopt the next wave automatically. Migrating between AI providers is our problem, not yours.

See the routing in action.

Book a walkthrough. We will demo a real task running through the router, including consensus on a high-stakes contract review.