Together Ai vs Deepinfra

Together AI and DeepInfra are serverless inference platforms for open-source models, competing primarily on pricing, model selection, and additional capabilities.

Overview

Together AI offers inference, fine-tuning, and custom model training with a wide selection of open-source models and competitive pricing. DeepInfra focuses on cost-effective serverless inference with OpenAI-compatible APIs, positioning itself as the cheapest way to run open-source models.

Key Differences

Fine-tuning: Together AI supports model fine-tuning on their platform. DeepInfra is inference-only with no fine-tuning support. Pricing: DeepInfra is typically 10-30% cheaper for equivalent inference tasks. Together AI is competitive but slightly more expensive. Model selection: Both host popular open-source models. Together AI offers more experimental and custom models. API compatibility: Both offer OpenAI-compatible APIs. DeepInfra's compatibility is particularly seamless for migration. Additional features: Together AI offers training, fine-tuning, and dedicated instances. DeepInfra is purely inference-focused with simpler feature set.

Verdict

Choose Together AI for a comprehensive platform with fine-tuning, training, and model variety. Choose DeepInfra for the lowest-cost inference with the simplest possible migration from OpenAI.