Infron vs OpenScale
Infron routes 400+ closed and open models through one API at provider rates. OpenScale sells one open model, DeepSeek V4.1 Flash, at promotional prices.
By The Subconscious Team · Updated
Infron vs OpenScale: key differences
Infron is a US AI gateway reaching 400+ models from 100+ providers, including Claude, Gemini and GPT, with failover, region pinning and bring-your-own-key. It passes provider rates through and charges a 3% to 5% top-up fee. OpenScale, a Y Combinator-backed API out of Singapore, serves DeepSeek V4.1 Flash at $0.06 in, $0.003 cached and $0.24 out per million tokens under a 50% promotion, at 200+ tokens per second, with a fast tier at about twice the speed.
Infron is the pick for products that mix many models and need fallback and data residency across regions. OpenScale is the pick when one cheap open model covers the workload, as in coding agents running DeepSeek V4.1 Flash.
What Infron and OpenScale do
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 profileOpenScale
OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.
Example models: DeepSeek V4.1 Flash
Full OpenScale profileShould you choose Infron or OpenScale?
Infron vs OpenScale at a glance
| Attribute | ||
|---|---|---|
| Model access | Closed and open, 400+ models | Open weights |
| Flagship models | DeepSeek, Qwen, Claude, Gemini, GPT | DeepSeek V4.1 Flash |
| Speed | Unknown | 200+ tok/s; fast tier ~2x |
| Price | Provider rates; 3–5% top-up fee | $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash) |
| Customization | Custom deployments | N/A |
| Deployment | Gateway API, dedicated, BYOK | Serverless API |
| Long context | Varies by model | 1M context |
Frequently asked questions
What is the difference between Infron and OpenScale?
Infron routes 400+ closed and open models through one API at provider rates. OpenScale sells one open model, DeepSeek V4.1 Flash, at promotional prices.
When should I choose Infron over OpenScale?
Closed and open models on one key; Failover across providers; Region pinning in Asia, Europe and the US.
When should I choose OpenScale over Infron?
Low prices on DeepSeek V4.1 Flash; No top-up fee; Coding agents on one open model.
Is Infron or OpenScale cheaper?
Infron: Provider rates; 3–5% top-up fee. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
Which has more context, Infron or OpenScale?
Infron: Varies by model. OpenScale: 1M context.
Related comparisons
Running long-horizon agents?
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.