Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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OpenRouter
✓ verifiedFreemium
Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.
17M visits/mo
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Abacus.AI
✓ verifiedPaid
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
4.3M visits/mo
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flux context
✓ verifiedFreemium
Commercial all-in-one AI generator bundling many image, video and music models in one credit-based workspace.
527K visits/mo
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Deep Infra
✓ verifiedPaid
Low-cost inference cloud with developer APIs to run open ML models and on-demand GPUs, billed pay-per-use.
375K visits/mo
Pricing
Free: $0
Pay-as-you-go: Per-token, no subscription
Enterprise: Talk to sales
No public pricing
Basic: $7.90/mo billed annually (4,800 credits/yr)
Pro: $19.90/mo billed annually (19,200 credits/yr)
Ultra: $69/mo billed annually (67,200 credits/yr)
No public pricing
Core features
- ✦One unified, OpenAI-compatible API for 400+ models
- ✦Automatic provider failover for higher uptime
- ✦Edge routing for low latency
- ✦Custom data and provider policies
- ✦Pay-as-you-go credits usable across any model
- ✦ChatLLM access to multiple top AI models
- ✦AI agents and automation
- ✦No-code full-stack app creation
- ✦Enterprise generative AI platform
- ✦Structured ML model building
- ✦Optimization and forecasting
- ✦Text-to-image and image editing
- ✦Text-to-video and image-to-video
- ✦AI music generation
- ✦30+ integrated models
- ✦Image and video upscaling
- ✦Templates and multi-language UI
- ✦Hosted inference for many open models
- ✦Simple REST/OpenAI-compatible API
- ✦Pay-per-token or per-time billing
- ✦On-demand GPU rental
- ✦Broad catalog (Llama, DeepSeek, Qwen, Flux, etc.)
- ✦DeepStart and DeepCluster tooling
Use cases
- →Accessing many LLMs through one integration
- →Adding provider redundancy to AI apps
- →Comparing model price and performance
- →Powering agents and AI-native products
- →Chat with many AI models in one place
- →Build and deploy ML models
- →Automate tasks with AI agents
- →Generating images, video and music in one place
- →Editing and style-transferring images
- →Producing marketing and social content
- →Upscaling media to higher resolution
- →Serving open-source models via API
- →Building AI apps cost-efficiently
- →Renting GPUs for inference or training
- →Scaling inference up and down on demand
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