Quick Verdict
| Need | Better first pick | Why |
|---|---|---|
| Open-model breadth | Together AI | One API for many open and open-adjacent model families |
| Proprietary GPT quality | OpenAI | Better default for GPT-specific workflows and premium reasoning |
| Cheap hosted text | Together GPT-OSS or MiniMax | Low per-token rates for bulk workloads |
| Multimodal and ecosystem depth | OpenAI | Stronger platform coverage and integrations |
| Provider diversification | Together AI | Easier to avoid betting everything on one closed model stack |
| Pricing data: How we verify → | ||
Use the chart and calculator above to compare the 2-4 routes that matter for your traffic. If open-model cost is the main question, also compare DeepSeek vs OpenAI pricing.
Compare the current API rates
The chart, calculator, and price table above are generated from the maintained pricing dataset. Use those rates rather than a second, frozen table. The chart compares equal token volumes; it does not measure model quality or cost per accepted task.
Together AI is not trying to be ChatGPT. It is a hosted open-model platform. That makes it useful when your pricing problem is flexibility, model variety, or a cheaper route for text tasks that do not need GPT-6.1 Sol.
Where Together Wins
Together is compelling for open-model evaluation, provider diversification, fine-tuning paths, and lower-cost hosted text. It gives teams a way to test GPT-OSS, MiniMax, Kimi, DeepSeek, Qwen, Llama, and related families without building separate integrations for every provider.
Where OpenAI Wins
OpenAI wins when you need the proprietary GPT product surface, mature multimodal tooling, broad ecosystem support, and premium reasoning ceiling. GPT-6 Luna also makes the OpenAI side less expensive than older GPT-only comparisons.
Routing Table
| Workload | First route | Escalation route |
|---|---|---|
| Simple text routing | Together GPT-OSS 20B | GPT-6 Luna |
| General support draft | Together MiniMax M3 | GPT-6 Luna |
| Coding task | Together Kimi K2.7 Code | GPT-6.1 Sol |
| Open-model eval | Together model basket | OpenAI baseline |
| Premium GPT workflow | GPT-6 Luna | GPT-6.1 Sol |
Bottom line
Together AI is the stronger first test for open-model breadth and cheap hosted text. OpenAI is the safer default for proprietary GPT workflows and premium platform coverage. Use Together to lower routine costs and keep OpenAI for workflows that need GPT quality or ecosystem depth.
For all tracked routes, open Together AI pricing and OpenAI pricing, then use the calculator with actual token volumes.
For an additional hosted open-model control, benchmark the same tasks on Novita. Verify the host, exact model, rate, and data-handling terms independently.
Affiliate disclosure: we may earn a commission from the sponsored link at no extra cost to you. It does not affect the comparison.
FAQ
Is Together AI cheaper than OpenAI?
Sometimes, but the answer depends on the hosted model and workload. Compare with both GPT-6 Luna and Sol and include output length, cache hits, and retries rather than claiming a provider-wide discount.
Is Together AI a replacement for OpenAI?
Not for every workload. It is best as an open-model host, evaluation layer, or cost-control route alongside OpenAI.
Which Together model should I test first?
Start with GPT-OSS 20B for cheap text, MiniMax M3 for general production text, and Kimi K2.7 Code for coding-focused experiments.
When should I choose OpenAI anyway?
Choose OpenAI when GPT-specific quality, multimodal features, mature tooling, or enterprise familiarity is worth more than the token savings.