Where Together AI genuinely wins
Together's edge is the open-source ecosystem. If you need to fine-tune Llama 3.1 70B on your dataset, deploy it on a dedicated GPU instance with predictable throughput, and call it from an OpenAI-shaped endpoint — that's exactly the workflow Together is engineered for. Their pricing on OSS models tends to be the best on the market because they run their own inference infrastructure rather than reselling. The dedicated endpoint product also matters for SOC 2 / data-residency-sensitive workloads.
Where Kunavo wins
Frontier closed-source coverage and multimodal breadth. Together does not resell Claude, Gemini or OpenAI's hosted GPT — you go to those providers directly, or to an aggregator like Kunavo. The moment your product needs Claude Opus reasoning, Gemini 3 Pro's 2M context, or any image / video generation, Together stops being the answer. Kunavo also delivers a meaningfully lower price point on frontier models (roughly 30% under official list), with one Stripe bill that covers cards, Apple Pay, Google Pay, ACH, SEPA, Alipay and WeChat Pay — important for self-serve global products.
Use them together
These are actually complementary stacks for many production setups. Run your fine-tuned OSS model on Together's dedicated endpoint for cost-sensitive workhorse tasks (classification, embeddings, ranking), and call Kunavo for the frontier reasoning, vision and generation calls. Both are OpenAI-compatible, so most code stays the same — you switch base_url per environment.