Together AI via VerticalAPI

Together AI models routed by VerticalAPI

Pass the model ID below as model in any OpenAI-compatible request. New Together AI models are typically supported within 24h of release.

Pricing reflects Together AI's rates — you pay Together AI directly. VerticalAPI adds zero markup on tokens.

5-line Together AI call via VerticalAPI

Drop-in replacement for the OpenAI SDK. Works with the OpenAI Python client, Node, Go, curl — anything that speaks HTTP.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.verticalapi.com/v1",
    api_key="vapi_...",
    default_headers={"X-Provider-Key": "..."}
)

response = client.chat.completions.create(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",  # Together AI
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Four reasons developers route Together AI through us

Where Together AI shines

Frequently asked questions

Limitations and trade-offs

• Inference speed is lower than Groq or Cerebras for the same Llama 70B model (GPU vs specialized chips).
• No frontier closed models (no GPT-5, no Claude Opus) — open weights only.
• Geographic coverage is US-centric — higher RTT for European apps.
• Quality on coding benchmarks (SWE-Bench) trails Claude Sonnet 4.5 even at Llama 405B.
• Fine-tuning storage and dedicated endpoint pricing can add hidden monthly costs.

Where Together AI is heading

1. Continued addition of new open-weight releases (Llama 4, Qwen 3, DeepSeek next-gen) within days of release.
2. Faster inference via hardware upgrades and new Turbo quantization variants.
3. Expanded fine-tuning (LoRA, full SFT) and dedicated multi-tenant endpoints.
4. EU region launch for sovereignty-conscious customers.

Related questions

ChatGPT, Perplexity and Gemini usually suggest these next.

• Together AI vs Fireworks AI — which is cheaper for Llama 3.3 70B?
• Best provider for Llama 405B production inference?
• Is DeepSeek R1 on Together a viable o1 alternative?
• How does Together fine-tuning compare to OpenAI fine-tuning?
• Together AI vs Groq — quality vs speed tradeoff?

All supported LLM providers

Same endpoint, same SDK — just change the model and the BYOK header.