Long-running agents deserve better inference.
vs

Subconscious vs Infron

Infron routes requests across 400+ models from many providers. Subconscious runs its own runtime built for agent traces past 200K tokens.

By The Subconscious Team · Updated

Subconscious vs Infron: key differences

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. It does not change how a model runs; it picks where the request goes. Subconscious changes the runtime itself. It prunes the KV cache and preserves suffix state so long agent traces stop rereading their whole context, and delivers 2x faster task completion and 50% to 80% lower cost than standard inference.

The billing models differ too. Infron passes through each provider's per-token price, so a long agent trace costs what it costs anywhere else, minus any enterprise discount of up to 30%. Subconscious bills tokens its system actually processes after compression, which rewards long, cache-heavy traces. Teams that need many models behind one key fit Infron; teams whose agents run past 200K tokens fit Subconscious.

What Subconscious and Infron do

Subconscious

Subconscious is an MIT CSAIL spinout in Kendall Square that builds inference for long-horizon agents, the workloads where a single trace runs past 200K tokens and often into the millions. Its runtime drops in as a replacement for vLLM or SGLang. Instead of rereading an ever-growing context on every step, it prunes the KV cache and preserves suffix state, and Subconscious co-designs the runtime with post-trained model variants it calls Marathon. Against open models on standard inference, Subconscious delivers 2x faster task completion, delivers a 5M+ effective context window, cuts cost 50% and up to 80%, and scores neutral to 10% better on agentic benchmarks.

Example models: GLM 5.3, DeepSeek V4.1 Flash

Full Subconscious 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 profile

Should you choose Subconscious or Infron?

Subconscious

Choose Subconscious for

  • Coding and research agents past 200K tokens
  • Billing on processed tokens rather than tokens sent
  • 5M+ effective context

Infron

Choose Infron for

  • Closed and open models on one key and one bill
  • Automatic failover across providers
  • Multi-model products that switch models often

Subconscious vs Infron at a glance

AttributeSubconsciousInfron
Model accessOpen weightsClosed and open, 400+ models
Flagship modelsGLM 5.3, DeepSeek V4.1 FlashDeepSeek, Qwen, Claude, Gemini, GPT
Speed2x faster task completionUnknown
Price50–80% lower cost; billed on processed tokensProvider rates; 3–5% top-up fee
CustomizationMarathon post-trained variantsCustom deployments
DeploymentManaged API, dedicated, on-premGateway API, dedicated, BYOK
Long context5M+ effective contextVaries by model

Frequently asked questions

What is the difference between Subconscious and Infron?

Infron routes requests across 400+ models from many providers. Subconscious runs its own runtime built for agent traces past 200K tokens.

When should I choose Subconscious over Infron?

Coding and research agents past 200K tokens; Billing on processed tokens rather than tokens sent; 5M+ effective context.

When should I choose Infron over Subconscious?

Closed and open models on one key and one bill; Automatic failover across providers; Multi-model products that switch models often.

Is Subconscious or Infron cheaper?

Subconscious: 50–80% lower cost; billed on processed tokens. Infron: Provider rates; 3–5% top-up fee. The cheaper choice depends on the model and workload.

Which has more context, Subconscious or Infron?

Subconscious: 5M+ effective context. Infron: Varies by model.

Related comparisons

Run your longest agent traces on Subconscious

Point the OpenAI or Anthropic SDK, or the coding agent you already use, at Subconscious. Keep Infron for the work it does best and send the long runs to us.