OpenRouter vs Together AI
Detailed side-by-side comparison to help you choose the right tool
OpenRouter
🔴DeveloperModel gateway
A unified service for accessing multiple AI models through one API.
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Starting Price
FreeTogether AI
🔴DeveloperAI Model Hosting & Inference
AI-native cloud for inference, fine-tuning, and dedicated GPU clusters, offering 200+ open-source and frontier-class models behind an OpenAI-compatible API plus reserved H100/H200/B200 capacity.
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Starting Price
$0.02/1M tokensFeature Comparison
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💡 Our Take
Choose OpenRouter if you need to switch among many model providers or compare proprietary and open models without separate accounts. Choose Together AI if your workload is centered on open-source model inference, fine-tuning, or direct infrastructure from a single AI cloud.
OpenRouter - Pros & Cons
Pros
- ✓One integration supports multi-model testing
- ✓Fallback routing can improve availability
- ✓No pay-as-you-go minimum spend
- ✓Per-key budgets improve governance
Cons
- ✗Pay-as-you-go adds a 5.5% fee
- ✗Adds another request and data-processing dependency
- ✗Model behavior varies behind the common API
- ✗Fallback may change outputs unless constrained
Together AI - Pros & Cons
Pros
- ✓Breadth of open-weight model catalog (200+) with one OpenAI-compatible API
- ✓One account spans serverless, dedicated endpoints, fine-tuning, and reserved GPU capacity
- ✓Transparent per-token pricing — easy to model unit economics against closed providers
- ✓InfiniBand-backed GPU Clusters are credible for real training, not just inference
Cons
- ✗Frontier-class reasoning still lags closed models on the hardest benchmarks
- ✗Fastest single-model latency is sometimes beaten by Groq or Cerebras
- ✗Many model variants means model selection itself becomes a project
- ✗Dedicated endpoint cost calculations require attention to GPU type and utilization
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