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Together AI vs Infron
Together AI hosts open models on its own GPUs with fine-tuning. Infron routes across 400+ models from 100+ providers on one key.
By The Subconscious Team · Updated
Together AI vs Infron: key differences
Together runs Kimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8 and more on its own serverless and dedicated infrastructure, with LoRA, full SFT and RL fine-tuning and rentable GPU clusters. Infron is a gateway: one OpenAI-compatible API in front of 400+ models from 100+ providers, at provider rates plus a 3% to 5% fee on credit top-ups, with fallbacks, region pinning and a 99.9% uptime SLA on dedicated throughput.
Together controls its own serving, so latency and features are consistent across its catalog, and it trains models. Infron adds closed models like GPT and Claude, failover across hosts and region pinning, but no training. Teams that fine-tune pick Together; teams that mix many vendors lean Infron.
What Together AI and Infron do
Together AI
Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten.
Example models: Kimi K3, DeepSeek V4 Pro
Full Together AI profile
Infron
Infron is a US-based AI gateway and inference platform. One OpenAI-compatible API reaches 400+ models from 100+ providers, including DeepSeek, Qwen, Claude, Gemini and GPT through what Infron calls official partner routes, plus media and search models. Teams set provider preferences and fallbacks, see usage and billing in one place, and can bring their own provider keys at no fee. Lawrence Xu is CEO and co-founder Andrew Zheng is CTO.
Example models: DeepSeek, Qwen, Claude, Gemini, GPT
Full Infron profileShould you choose Together AI or Infron?
Together AI
Choose Together AI for
- Fine-tuning and RL on one platform
- Consistent serving on owned infrastructure
- Rentable GPU clusters
Infron
Choose Infron for
- Closed and open models on one key and one bill
- Automatic failover across providers
- Region pinning across Asia, Europe and the US
Together AI vs Infron at a glance
| Attribute | Together AI |  Infron |
|---|---|---|
| Model access | Open weights | Closed and open, 400+ models |
| Flagship models | Kimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8 | DeepSeek, Qwen, Claude, Gemini, GPT |
| Speed | 0.99s TTFT on DeepSeek V4 Pro | Unknown |
| Price | Parity with Fireworks and Baseten | Provider rates; 3–5% top-up fee |
| Customization | LoRA and full SFT; RL in beta | Custom deployments |
| Deployment | Serverless, dedicated, GPU clusters | Gateway API, dedicated, BYOK |
| Long context | 512K on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between Together AI and Infron?
Together AI hosts open models on its own GPUs with fine-tuning. Infron routes across 400+ models from 100+ providers on one key.
When should I choose Together AI over Infron?
Fine-tuning and RL on one platform; Consistent serving on owned infrastructure; Rentable GPU clusters.
When should I choose Infron over Together AI?
Closed and open models on one key and one bill; Automatic failover across providers; Region pinning across Asia, Europe and the US.
Is Together AI or Infron cheaper?
Together AI: Parity with Fireworks and Baseten. Infron: Provider rates; 3–5% top-up fee. The cheaper choice depends on the model and workload.
Which has more context, Together AI or Infron?
Together AI: 512K on DeepSeek V4 Pro. Infron: Varies by model.
Related comparisons
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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.