Together AI vs OpenAI API
A detailed comparison to help you choose between Together AI and OpenAI API.
🏆
Verdict: OpenAI API wins
OpenAI API scores 4.4/5, edging out Together AI at 4.1/5. Developers who want one vendor and one request dialect for text, voice, image and agentic workloads, and who value integration speed over per-token cost.
Together AI Run open-source AI models in the cloud | OpenAI API GPT-4o and the world's most used AI API | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.4 (1 review) |
| Pricing Model | usage-based | usage-based |
| Starting Price | Pricing varies | Pricing varies |
| Best For | Developers and researchers who want to run, compare and fine-tune open-weight models across a wide catalogue with OpenAI-compatible calls and no minimum spend. | Developers who want one vendor and one request dialect for text, voice, image and agentic workloads, and who value integration speed over per-token cost. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | api accessfree tieropen source | api accessfree tier |
| Visit Together AI → | Visit OpenAI API → |
Together AI
Pros
- + Switched one pipeline across four serverless models in an afternoon — only the base URL and model string changed
- + Model table publishes context length, cached pricing and quantisation format (NVFP4/FP8/MXFP4) per model
- + Flash-tier pricing ($0.15-$0.30 input) made a 10M-token/day extraction job far cheaper than frontier equivalents
- + Breadth: chat, image, vision, video, audio, embedding, rerank and moderation under one API
- + $800M raise at $8.3B valuation (July 2026) is a strong continuity signal for an infrastructure vendor
Cons
- - No proprietary frontier models; my messy scanned-forms task needed a frontier fallback
- - No published per-model latency figures — you must measure for yourself
- - Fine-tuning pricing (tokens x epochs, per-model rates) takes real digging to budget
- - Experimental and free-tier models sit in the same list as production ones with no quality signal
- - Dedicated GPU cluster options exist but are not as configurable as pure compute providers
OpenAI API
Pros
- + Lowest false-call rate on my 250-case tool-use evaluation, including the deliberate no-call cases
- + Single account covers text, reasoning, image, audio, transcription, embeddings and agent tooling
- + Framework integrations were config-only where rival providers needed adapter code I had to maintain
- + Official pricing page documents wrinkles (residency uplifts, Fast mode rename) that others bury
- + Streaming response times were consistent enough over a week of monitoring that I stopped tracking them
Cons
- - Tool metering ($10/1k search calls, $2.50/1k tool calls) became about a fifth of my search-heavy prototype's bill
- - Entry rate limits are tight; my batch job triggered a 429 burst until spend tier rose
- - 10% uplift on regional data-residency and FedRAMP endpoints adds to an already premium price list
- - Specialised model lines (Rosalind trusted-access, cyber tier) assume institutional buyers
- - Catalogue churn makes third-party tutorials stale within months
Frequently Asked Questions
Which is better, Together AI or OpenAI API?▼
OpenAI API scores higher at 4.4/5 vs 4.1/5 for Together AI, making it the better-rated option in our comparison.
What is the difference between Together AI and OpenAI API?▼
Together AI: Together AI is a cloud platform for running, fine-tuning and serving open-source AI models, including dedicated GPU clusters. OpenAI API: The OpenAI API gives developers access to OpenAI's GPT, reasoning, image, audio and embedding models, along with tooling for agents and fine-tuning.
Is Together AI or OpenAI API more affordable?▼
Together AI starts at €0/mo, OpenAI API starts at €0/mo. Check the comparison table above for current pricing.
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.