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DeepInfra vs Infron
DeepInfra hosts 150+ open models at floor prices. Infron routes across 400+ closed and open models at provider rates plus a top-up fee.
By The Subconscious Team · Updated
DeepInfra vs Infron: key differences
DeepInfra is the price reference for open models, from $0.02 per million tokens, with no minimums, partly through heavy quantization such as FP4 DeepSeek V4 Pro capped at 66K context. 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.
For the cheapest open-model tokens, DeepInfra direct is hard to beat, since Infron adds a 3% to 5% top-up fee. Infron adds closed models, failover across hosts and region pinning. Check precision and context per model on either.
What DeepInfra and Infron do
DeepInfra
DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.
Example models: DeepSeek V4 Flash, Llama 3.1 8B
Full DeepInfra 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 DeepInfra or Infron?
DeepInfra vs Infron at a glance
| Attribute | DeepInfra |  Infron |
|---|---|---|
| Model access | Open weights | Closed and open, 400+ models |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | DeepSeek, Qwen, Claude, Gemini, GPT |
| Speed | ~33 tok/s on DeepSeek V4 Pro (FP4) | Unknown |
| Price | From $0.02 per 1M | Provider rates; 3–5% top-up fee |
| Customization | No managed fine-tuning | Custom deployments |
| Deployment | Shared API, no contracts | Gateway API, dedicated, BYOK |
| Long context | 66K on FP4 DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between DeepInfra and Infron?
DeepInfra hosts 150+ open models at floor prices. Infron routes across 400+ closed and open models at provider rates plus a top-up fee.
When should I choose DeepInfra over Infron?
Lowest per-token prices on open models; No fees or minimums; Fast intake of new releases.
When should I choose Infron over DeepInfra?
Closed and open models on one key and one bill; Automatic failover across providers; Region pinning across Asia, Europe and the US.
Is DeepInfra or Infron cheaper?
DeepInfra: From $0.02 per 1M. Infron: Provider rates; 3–5% top-up fee. The cheaper choice depends on the model and workload.
Which has more context, DeepInfra or Infron?
DeepInfra: 66K on FP4 DeepSeek V4 Pro. Infron: Varies by model.
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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.