DeepInfra vs Together AI
Side-by-side comparison of DeepInfra and Together AI: pricing, features, API access, and community ratings.
AI comparison summary
TL;DR: Both platforms offer fast, cost-effective access to 100+ open-source models with similar freemium pricing. Together AI differentiates itself as a comprehensive full-stack platform with proprietary research innovations (FlashAttention) claiming 31% faster inference speeds, plus integrated fine-tuning and compute capabilities for technical users who need end-to-end ML workflows. DeepInfra focuses purely on inference optimization with enterprise certifications (SOC 2, ISO 27001) and zero data retention, making it better suited for developers seeking straightforward, compliant API access without additional platform complexity.
| Category | AI infrastructure | AI infrastructure |
| Pricing | Freemium | Freemium |
| Starting price | USD 0.06/mo | |
| Free tier | ||
| Audience | All audiences | Technical |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | Multi-provider (DeepSeek, Anthropic/Claude, Qwen, Llama, Mistral, Gemini, Kimi, Flux, Nemotron, and others) | Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi) |
| Founded | 2022 | |
| Headquarters | United States | San Francisco, USA |
| Key strengths |
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