| 1 |
| Quality | 0 | 1 |
| Ecosystem | 0 | 1 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Free |
| Starting Price | $1.40e-7 per prompt token | $5/mo (Mini) |
| Capabilities | 7 decomposed | 14 decomposed |
| Times Matched | 0 | 0 |
Processes both text and image inputs simultaneously using a 28B parameter Mixture-of-Experts architecture where only 3B parameters activate per token. Implements modality-isolated routing, meaning separate expert pathways handle text and vision features before fusion, enabling specialized processing for each modality without forcing them through identical computational paths. This heterogeneous MoE design allows the model to maintain distinct reasoning chains for language and vision while sharing a unified token-level gating mechanism.
Unique: Implements modality-isolated expert routing where text and vision pathways remain separate until fusion, rather than forcing all modalities through identical expert selection. This heterogeneous MoE structure differs from standard MoE approaches (like Mixtral) which use modality-agnostic routing, allowing ERNIE 4.5 VL to maintain specialized expert knowledge per modality while activating only 3B/28B parameters per token.
vs alternatives: More parameter-efficient than dense multimodal models (GPT-4V, Claude 3.5 Vision) while maintaining competitive understanding through specialized expert pathways; lower inference cost and latency than larger dense alternatives due to sparse activation pattern.
Answers natural language questions about image content by grounding language understanding in visual features extracted through the vision expert pathway. The model performs token-level fusion of image embeddings and text tokens, allowing it to generate answers that reference specific visual regions or objects mentioned in questions. This capability leverages the modality-isolated routing to maintain separate visual reasoning before integrating with language generation.
Unique: Uses modality-isolated expert routing to maintain separate visual reasoning pathways that feed into unified token-level fusion with language generation, enabling more precise grounding of answers in specific image regions compared to models that process vision and language through identical expert selection.
vs alternatives: More efficient than GPT-4V for VQA tasks due to sparse MoE activation (3B vs dense billions), while maintaining competitive accuracy through specialized vision expert pathways.
Analyzes documents, forms, and screenshots by simultaneously processing visual layout and text content through separate expert pathways that fuse at the token level. The model can extract structured information from documents (tables, forms, receipts) by understanding both the spatial arrangement of elements (vision pathway) and semantic meaning of text (text pathway). The heterogeneous MoE architecture allows it to specialize in document structure recognition without diluting text understanding capacity.
Unique: Combines vision expert specialization in spatial layout recognition with text expert specialization in semantic understanding through modality-isolated routing, enabling more accurate document structure preservation than models that process layout and text through identical pathways.
vs alternatives: More efficient than dedicated document AI services (AWS Textract, Google Document AI) for simple extractions due to lower latency and cost, though may require more careful prompting for complex structured output.
Generates natural language descriptions and captions for images by processing visual features through the vision expert pathway and generating coherent text through the text expert pathway with token-level fusion. The model can produce captions at varying levels of detail (short captions, detailed descriptions, technical analysis) based on prompt instructions. The sparse activation pattern (3B/28B) allows efficient batch processing of image captioning tasks.
Unique: Leverages modality-isolated expert routing to maintain specialized vision understanding for visual feature extraction while text experts focus purely on coherent caption generation, reducing parameter waste compared to dense models that process both modalities identically.
vs alternatives: More cost-effective than GPT-4V or Claude 3.5 Vision for bulk captioning due to sparse MoE activation and lower per-token cost; faster inference than dense alternatives for high-volume captioning pipelines.
Maintains multi-turn conversations where users can reference previously shared images and ask follow-up questions that build on earlier visual context. The model preserves image embeddings and visual understanding across conversation turns, allowing users to ask 'what was in that image from earlier?' or refine questions about previously analyzed images. The heterogeneous MoE routing maintains separate visual and text reasoning chains that can be reused across turns without reprocessing images.
Unique: Maintains separate visual and text expert reasoning chains across conversation turns through modality-isolated routing, allowing efficient re-reference of earlier images without full re-encoding, while preserving conversation context through unified token-level fusion.
vs alternatives: More efficient for multi-turn image analysis than models requiring full image re-encoding per turn; lower latency for follow-up questions due to sparse MoE activation pattern.
Performs reasoning tasks that require simultaneous understanding of both text and visual semantics, such as determining if an image matches a text description, identifying contradictions between image content and text claims, or reasoning about abstract relationships between visual and textual information. The modality-isolated expert routing allows the model to develop independent semantic representations in each modality before fusion, enabling more nuanced cross-modal reasoning than models that force both modalities through identical pathways.
Unique: Develops independent semantic representations in vision and text expert pathways before fusion, enabling more sophisticated cross-modal reasoning than models that process both modalities identically; modality-isolated routing allows each expert to specialize in semantic understanding within its domain.
vs alternatives: More nuanced cross-modal reasoning than dense models due to specialized expert pathways; more efficient than ensemble approaches that run separate vision and language models.
Processes multiple image-text pairs or sequential multimodal requests efficiently through sparse MoE activation, where only 3B of 28B parameters activate per token. This enables higher throughput and lower latency for batch operations compared to dense models, making it suitable for processing large volumes of images with associated queries. The sparse activation pattern reduces memory footprint and computational cost per request, allowing more concurrent requests on the same hardware.
Unique: Sparse MoE architecture with 3B/28B parameter activation enables significantly lower computational cost per request compared to dense models, allowing higher throughput and lower latency for batch multimodal processing without sacrificing model capacity.
vs alternatives: Lower per-token cost and faster inference than dense multimodal models (GPT-4V, Claude 3.5 Vision) for batch operations; more efficient than running separate vision and language models in sequence.
Converts text prompts describing website requirements into complete, multi-page responsive website layouts with copy, images, and animations in seconds. The system ingests natural language descriptions (e.g., 'three unique landing pages in dark mode for a modern design startup'), processes them through an undisclosed LLM pipeline, and outputs design variations as editable React-compatible components in the visual editor. Generation appears to be single-pass without iterative refinement loops, producing immediately-editable designs rather than requiring approval workflows.
Unique: Generates complete multi-page websites with layout, copy, images, and animations from single text prompts, outputting directly into a Figma-quality visual editor where designs remain fully editable rather than locked outputs. Most competitors (Wix, Squarespace) use template selection; Framer generates custom layouts per prompt.
vs alternatives: Faster than hiring a designer and more customizable than template-based builders, but slower and less flexible than human designers for complex brand requirements.
Browser-based visual design interface with design-tool-grade capabilities including responsive layout editing, effects/interactions/animations, shader effects (Holo Shader, Chromatic Aberration, Logo Shaders), and real-time multi-user collaboration. The editor supports role-based permissions (viewers read-only, editors can modify), direct copy editing on published pages, and simultaneous editing by multiple team members. Built on React component architecture allowing both visual design and custom code insertion without leaving the editor.
Unique: Combines Figma-level visual design capabilities with direct website publishing and custom React component integration in a single tool, eliminating the designer→developer handoff. Includes proprietary shader effects library (Holo, Chromatic Aberration) not available in standard design tools. Real-time collaboration uses Framer's infrastructure rather than relying on external sync services.
More design-capable than Webflow (which prioritizes no-code logic) and more publishing-integrated than Figma (which requires export to separate hosting), but less feature-rich for complex interactions than Webflow's visual logic builder.
Framer scores higher at 82/100 vs Baidu: ERNIE 4.5 VL 28B A3B at 22/100. Framer also has a free tier, making it more accessible.
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Enables creation and management of website content in multiple languages with separate content variants per locale. Available as a Pro-tier add-on with undisclosed pricing. Allows content creators to maintain language-specific versions of pages, CMS items, and copy. Implementation details (language detection, URL structure, fallback behavior, supported languages) are not documented.
Unique: Integrates multi-language content management directly into the CMS and visual editor, allowing designers to manage language variants without external translation tools. Content structure is shared across languages; only content is localized.
vs alternatives: Simpler than Contentful with language variants because no separate content model configuration required, but less flexible for complex localization workflows or translation management.
Enables one-click rollback to previous website versions, allowing teams to quickly revert breaking changes or problematic updates. Available on Pro tier and above. Maintains version history of published sites with ability to restore any previous version. Implementation details (version retention policy, automatic snapshots, granular change tracking) are not documented.
Unique: Provides one-click rollback directly in the publishing interface without requiring Git or version control knowledge. Automatic version snapshots are created on each publish. Most website builders require manual backups or external version control; Framer includes it natively.
vs alternatives: Simpler than Git-based workflows for non-technical users, but less granular than Git for selective rollback of specific changes.
Provides a server-side API for programmatic access to Framer sites, CMS content, and site management operations. Listed in product updates but not documented in detail. Capabilities, authentication, rate limits, and supported operations are unknown. Likely enables external systems to read/write CMS data, trigger deployments, or manage site configuration.
Unique: Provides server-side API access to Framer sites and CMS, enabling external integrations and automation. Specific capabilities unknown due to lack of documentation, but likely enables content synchronization with external systems.
vs alternatives: Unknown without documentation, but likely enables deeper integrations than visual-only builders like Wix or Squarespace.
Enables password protection of individual pages or entire sites, restricting access to authorized users only. Available on Basic tier and above. Allows teams to share draft content or restricted pages with specific audiences without making them publicly accessible. Implementation details (password hashing, session management, per-page vs site-wide protection) are not documented.
Unique: Integrates password protection directly into the publishing interface without requiring external authentication services. Available on Basic tier, making it accessible to all users. Simple password-based approach is easier than OAuth or SAML for non-technical users.
vs alternatives: Simpler than OAuth-based authentication for quick access control, but less secure for sensitive data because password-based protection is weaker than multi-factor authentication.
Integrated content management system supporting collections (content types), items (individual records), and relational data linking across collections. The CMS supports dynamic filtering of content on pages, multi-locale content variants (Pro add-on), and auto-publish/staging workflows. Data is stored in Framer's infrastructure with tiered limits: 1 collection/1,000 items (Basic), 10 collections/2,500 items (Pro), 20 collections/10,000 items (Scale). Relational CMS (linking between collections) is Pro-tier and above. Content can be edited directly on published pages without rebuilding.
Unique: Integrates CMS directly into the visual editor with no separate admin interface, allowing designers to manage content structure and pages in one tool. Supports relational data linking between collections (Pro+) and direct on-page editing of published content without rebuilds. Most website builders separate CMS from design; Framer unifies them.
vs alternatives: Simpler than Contentful or Strapi for non-technical users because CMS structure is defined visually, but less flexible for complex data models or external integrations.
One-click publishing of websites to Framer-managed global CDN with automatic responsive optimization across devices. Supports custom domain connection (free .com on annual plans), Framer subdomains, staging environments (Pro+), instant rollback (Pro+), site redirects (Pro+), and password protection (Basic+). Hosting includes 20 CDN locations on Basic/Pro tiers and 300+ locations on Scale tier. Bandwidth limits are 10 GB (Basic), 100 GB (Pro), 200 GB (Scale) with $40 per 100 GB overage charges. Page limits are 30 (Basic), 150 (Pro), 300 (Scale) with $20 per 100 additional pages.
Unique: Integrates hosting, CDN, and staging directly into the design tool with one-click publishing, eliminating separate hosting provider setup. Automatic responsive optimization and global CDN distribution are built-in rather than requiring external services. Staging and rollback are native features, not add-ons.
vs alternatives: Simpler than Vercel/Netlify for non-technical users because no Git/CI-CD knowledge required, but less flexible for complex deployment pipelines or custom server logic.
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