Deepinfra vs Together AI

Serverless Model Hub Showdown: Low-Cost Pay-Per-Token vs Turbo Custom Endpoints

DeepInfra and Together AI are two premier serverless model hosting providers for open-weights foundation models (Llama 3.3, DeepSeek-V3, Qwen 2.5, Mistral, and Flux). DeepInfra focuses strictly on raw pricing efficiency: by running aggressive custom inference kernels on bare-metal GPU infrastructure, DeepInfra routinely undercuts competitors by 30-50% on per-token pricing. Together AI provides a complete enterprise AI platform, offering proprietary Together Turbo endpoints with sub-second TTFT, dedicated private GPU endpoints, fine-tuning infrastructure, and enterprise SLAs.

Unified Dual-Provider Fallback Proxy in Python

Route requests to DeepInfra for lowest unit cost and automatically fail over to Together AI during rate limit peaks:

from openai import OpenAI
import os

def call_open_model(prompt: str):
    providers = [
        {"base_url": "https://api.deepinfra.com/v1/openai", "key": os.environ["DEEPINFRA_API_KEY"]},
        {"base_url": "https://api.together.xyz/v1", "key": os.environ["TOGETHER_API_KEY"]}
    ]
    for p in providers:
        try:
            client = OpenAI(base_url=p["base_url"], api_key=p["key"])
            res = client.chat.completions.create(
                model="meta-llama/Llama-3.3-70B-Instruct",
                messages=[{"role": "user", "content": prompt}],
                timeout=10
            )
            return res.choices[0].message.content
        except Exception:
            continue
    raise RuntimeError("Both model providers failed.")

Selection Verdict

Choose DeepInfra when building cost-sensitive SaaS applications, background indexing pipelines, and high-volume agent swarms where per-token pricing is your primary cost driver. Choose Together AI when requiring enterprise SOC 2 compliance, dedicated reserved GPU instances with guaranteed uptime SLAs, or customized LoRA model deployments.

Production Resilience: Serving Fleet Autoscaling, Fine-Tuning & Spot GPU Cost

DeepInfra and Together AI are both premier platforms for open-weights AI inference, but cater to different production stages. Together AI provides a unified platform spanning custom model fine-tuning, dedicated GPU endpoints, and serverless inference, making it ideal for teams fine-tuning custom LoRAs and deploying them to dedicated H100 clusters. DeepInfra is engineered for ruthless price-to-performance efficiency on standard open-weights models (Llama 3.3, Qwen 2.5, DeepSeek), consistently offering 20% to 40% lower token prices. Production systems often fine-tune custom model checkpoints on Together AI, and deploy high-volume base model queries to DeepInfra to minimize operating costs.

Production Telemetry & Health Probe Implementation

Deploy automated health probes and resilience circuit breakers to protect upstream infrastructure:

from openai import OpenAI

# Multi-provider client router with automatic rate-limit failover
def get_inference_client(provider: str) -> OpenAI:
    if provider == "deepinfra":
        return OpenAI(base_url="https://api.deepinfra.com/v1/openai", api_key=os.environ["DEEPINFRA_API_KEY"])
    return OpenAI(base_url="https://api.together.xyz/v1", api_key=os.environ["TOGETHER_API_KEY"])