LLMopenrouter

OpenRouter: Fusion

Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...

Anyone in the Project can @-mention OpenRouter: Fusion with the team's shared context - pooled credits, one chat, one memory.

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Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.

Verdict

OpenRouter Fusion is a meta-model that routes requests across multiple providers to optimize for quality, speed, or cost based on your query. It's best when you want adaptive performance without manually switching models, though you sacrifice predictability and per-token pricing transparency. Reach for this when you need a single endpoint that intelligently delegates work, but skip it if you require consistent output or strict budget control.

Best for

Adaptive routing across multiple providers
Prototyping without model selection overhead
Workloads mixing simple and complex queries
Teams experimenting with model diversity

Strengths

Fusion dynamically selects from OpenRouter's catalog based on query complexity, latency requirements, and cost constraints. This means simple queries hit cheaper models while complex reasoning tasks route to frontier models. The 1M token context window reflects the upper bound of its routing pool, giving you access to long-context capabilities when needed. It removes the burden of manual model switching for teams running varied workloads.

Trade-offs

You lose output consistency since different queries hit different models, making A/B testing and reproducibility harder. Pricing is opaque until after the call completes, complicating budget forecasting. You can't tune for a specific model's quirks or strengths, and debugging failures is harder when you don't know which underlying model processed your request. Teams needing deterministic behavior or strict cost controls should use direct model endpoints instead.

Specifications

Provider: openrouter
Category: llm
Context length: 1,000,000 tokens
Max output: —
Modalities: text
License: proprietary
Released: 2026-06-13

Pricing

Input: —
Output: —
Model ID: openrouter/fusion

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Providers

Provider	Context	Input	Output	P50 latency	Throughput	30d uptime
openrouter	1000k	$0.00/Mtok	$0.00/Mtok	—	—	—

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Projects have used this model yet to share anonymised team stats. We wait for at least 50 distinct Projects per week before publishing any aggregate.

Starter prompts

Mixed-Complexity Document Analysis

Extract all dates, names, and dollar amounts from this contract, then assess whether the liability clauses favor the buyer or seller and explain your reasoning in two paragraphs.

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Prototype Conversational Agent

You are a customer support assistant. Answer this user question clearly and concisely. If the question is straightforward, keep it brief. If it requires nuanced explanation, provide detailed reasoning.

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Cost-Aware Code Review

Review this Python function for style issues, potential bugs, and architectural improvements. Flag anything that violates PEP 8 and suggest refactors for better maintainability.

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Adaptive Research Summarization

Summarize this research paper in three parts: a two-sentence abstract, a paragraph on methodology, and a paragraph on implications for practitioners.

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Multi-Turn Reasoning Workflow

First, list the top five risks in this business plan. Then, for the highest-priority risk, draft a two-paragraph mitigation strategy with specific action items.

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Compare with

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