Cloudflare Workers AI vs Infron
Workers AI serves open models on Cloudflare GPUs from Workers. Infron routes across 400+ models from 100+ providers on one key.
By The Subconscious Team · Updated
Cloudflare Workers AI vs Infron: key differences
Workers AI runs a fixed open-model catalog on Cloudflare's network, priced in Neurons with 10K free daily and called straight from Workers. 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.
Workers AI is the easy pick for apps already on Cloudflare with simple model needs. Infron fits apps that need closed models too, or failover across hosts. Cloudflare's own AI Gateway also exists for routing, so Workers teams have a native option.
What Cloudflare Workers AI and Infron do
Cloudflare Workers AI
Workers AI is the serverless GPU inference service of Cloudflare, which was founded in 2009. It launched in September 2023 and reached general availability in April 2024. Models run on GPUs inside Cloudflare's own network and are called from a Worker through an AI binding or over REST, including OpenAI-compatible Chat Completions and Embeddings endpoints plus a Responses endpoint for gpt-oss. The catalog lists 50+ open models. Since Kimi K2.5 arrived in March 2026 it has carried frontier-scale LLMs: Kimi K2.6 and K2.7 Code, GLM 5.2 and 5.3, DeepSeek V4 Pro and Flash, gpt-oss 120B and 20B, Qwen 3.8 27B and Llama 4 Scout. DeepSeek V4, added August 14, 2026, was the first to offer the full 1,048,576 token context.
Example models: DeepSeek V4 Pro, GLM 5.3
Full Cloudflare Workers AI profileInfron
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 Cloudflare Workers AI or Infron?
Cloudflare Workers AI
Choose Cloudflare Workers AI for
- Inference called from Workers
- A free daily allowance
- Edge integration
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
Cloudflare Workers AI vs Infron at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Closed and open, 400+ models |
| Flagship models | DeepSeek V4 Pro, GLM 5.3, Kimi K2.7 Code, gpt-oss 120B | DeepSeek, Qwen, Claude, Gemini, GPT |
| Speed | Unknown | Unknown |
| Price | $0.011 per 1K Neurons; 10K free daily | Provider rates; 3–5% top-up fee |
| Customization | BYO LoRA on small models (beta) | Custom deployments |
| Deployment | Serverless on Cloudflare network | Gateway API, dedicated, BYOK |
| Long context | 1M on DeepSeek V4; 262K on Kimi | Varies by model |
Frequently asked questions
What is the difference between Cloudflare Workers AI and Infron?
Workers AI serves open models on Cloudflare GPUs from Workers. Infron routes across 400+ models from 100+ providers on one key.
When should I choose Cloudflare Workers AI over Infron?
Inference called from Workers; A free daily allowance; Edge integration.
When should I choose Infron over Cloudflare Workers AI?
Closed and open models on one key and one bill; Automatic failover across providers; Region pinning across Asia, Europe and the US.
Is Cloudflare Workers AI or Infron cheaper?
Cloudflare Workers AI: $0.011 per 1K Neurons; 10K free daily. Infron: Provider rates; 3–5% top-up fee. The cheaper choice depends on the model and workload.
Which has more context, Cloudflare Workers AI or Infron?
Cloudflare Workers AI: 1M on DeepSeek V4; 262K on Kimi. Infron: Varies by model.
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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.