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How Together AI Scores
Pricing & Features
Together AI offers serverless inference pricing for 200+ models. Input tokens range from $0.10/M (small models) to $0.90/M (Llama 3.3 70B). Output tokens are slightly more expensive ($0.15-$1.50/M). Free $5 startup credit included.
GPU Cloud Option: H100 at $3.49/hr, H200 at $4.19/hr, B200 (Blackwell) at $7.49/hr for dedicated compute.
Key Advantage: 40-60% cheaper than OpenAI for large-volume workloads when using open-source models.
Best For
- Budget-conscious teams processing high volumes of inference requests
- Companies committed to open-source LLMs (Llama, Mistral, Qwen)
- Fine-tuning custom models at scale without hosting overhead
- Startups with $50K+ in credits seeking cost optimization
Who Should Skip
- Teams requiring GPT-4 or Claude exclusive access
- Ultra-low latency applications (Groq is 10x faster)
- Enterprise with compliance requirements (no HIPAA/FedRAMP)
Our Verdict
8.3/10 — Together AI is the best cost-per-token provider for open-source LLM inference at scale. Pricing is transparent, model selection is deep, and the API is solid. Main trade-off: slower than Groq and no proprietary models. Smart teams use Together AI for high-volume batch work and Groq for latency-critical applications. Not a replacement for OpenAI or Anthropic, but 60% cheaper if you commit to open models.