Graphis vs Router by Ramp: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Graphis and Router by Ramp — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Graphis
Graphis / Graphis AI
All-in-one AI workspace that helps designers, marketers, and creators manage AI-driven content projects and collaboration.
Key features
- AI Content Project Management: Centralized workspace to create, organize, and track AI-driven content projects for campaigns and client work.
- Team Collaboration: Shared project spaces and access controls that enable creatives and agency teams to work together on prompts, assets, and iterations.
- Creative Workflow Consolidation: Brings prompts, outputs, assets, and project history into a single environment to streamline iteration and review.
- Multi-role Support for Agencies: Designed to support agency workflows with organization-level project coordination and client-focused content pipelines.
- Built-for-Creatives UX: Interface and tooling crafted by creatives to match the needs of designers, marketers, and content creators integrating AI into their processes.
- Simple Authentication and Access: Supports modern sign-in flows (e.g., Google login) for quick team onboarding and access management.
- Web-based collaborative workspace for creative teams
- AI content project management and organization
- Tools to integrate generative workflows into design and marketing tasks
- Team accounts and authentication with Google single sign-on
- Centralized management of creative projects and assets
Best for
- Agency Campaign Management: Plan and manage AI-generated assets across client campaigns, keeping briefs, prompts, iterations, and final outputs organized.
- Social Content Production: Rapidly generate and iterate social posts, captions, and visuals with a shared workspace for marketers and designers to review.
- Creative Iteration and Review: Store AI outputs and version history to enable designers to compare generations, refine prompts, and finalize assets.
- Cross-functional Team Collaboration: Allow designers, copywriters, and marketers to co-manage projects, comment on outputs, and align creative direction.
- Standardizing AI Workflows: Create repeatable processes for prompt reuse, output curation, and asset management to maintain brand consistency.
- Agency Client Delivery: Package and present AI-driven deliverables in organized project spaces for client review and approval.
- Agency-level management of AI-generated campaigns and creative projects
- Design teams incorporating generative content into production workflows
- Marketing teams producing and iterating on AI-assisted assets and copy
- Cross-functional collaboration on content projects with centralized access
- Organizing and tracking AI-driven creative deliverables for clients
Router by Ramp
Ramp
Ramp's LLM gateway routes each request to the cheapest model meeting your quality bar, cutting inference costs ~40% behind one endpoint and one bill.
Key features
- Cost-Aware Automatic Routing: Every request is matched to the lowest-cost model that still meets your performance requirements, reported to cut inference spend by about 40% on average.
- One Key for Every Model: Closed and open-source models from vetted providers sit behind a single endpoint, key and invoice.
- Rolling Strategy Updates: New cost-saving routing strategies and newly benchmarked default models roll in automatically without changing your integration.
- Score Versus Spend Reporting: Built-in benchmarking shows metric distributions and model summaries so you can see quality and cost side by side.
- Flex Tier Routing Share: A tunable split between default and flexible routing lets you dial how aggressively requests are shifted to cheaper models.
- US-Hosted Providers with ZDR: All vetted providers are US-hosted, with zero-data-retention options for sensitive workloads.
- Switchyard Integration: Works with Switchyard for model and provider routing, surfaced directly in the CLI's cost display.
- One-Command CLI Setup: Install and configure with a single curl command from agents.ramp.com, with an agent-friendly copy-paste flow.
Best for
- Trimming Production Inference Spend: Route high-volume, low-difficulty requests to cheaper models while keeping frontier models for the hard ones — Delphi reports a 92% model cost reduction across billions of tokens.
- Multi-Provider Consolidation: Replace separate OpenAI, Anthropic and open-model integrations with one endpoint and one bill.
- Model Benchmarking Before Migration: Test candidate models against your real workloads and compare score against spend before switching defaults.
- Finance and Engineering Alignment: Give CFOs a single, attributable AI spend line while engineers keep the best model for each workload.
- Compliance-Constrained Deployments: Keep inference on US-hosted providers with zero-data-retention options for regulated data.
- Agent Cost Control: Cap the runaway token spend of long-running agent loops by routing their routine steps to cheaper models automatically.