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Subconscious vs RunInfra
RunInfra sells cheap plans on mid-size models. Subconscious serves GLM 5.3 and DeepSeek V4.1 Flash on a runtime built for long coding agents past 200K tokens.
By The Subconscious Team · Updated
Subconscious vs RunInfra: key differences
Both court developers running agents inside Claude Code, Codex and OpenCode, at different price points and model sizes. RunInfra's coding plans start at $10 a month with limits that reset every five hours and every week, on a small library centered on mid-size models like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, which sit far from frontier quality. Subconscious serves GLM 5.3 and DeepSeek V4.1 Flash, bills tokens processed after KV cache pruning, and delivers neutral to 10% better scores on agentic benchmarks and delivers a 5M+ effective context window. Over a long coding session, model quality and context length decide more than the monthly fee.
RunInfra's second product has no direct Subconscious equivalent. Describe an endpoint in plain English and its agent picks a model, benchmarks it on GPUs from L4 to B200, searches quantized variants, applies Forge kernels and ships an endpoint that scales to zero with cold starts under two seconds. It also chains models into voice pipelines, like Whisper into an LLM into a TTS voice. That suits small teams without ML ops staff. Subconscious's dedicated and on-prem deployments aim at a different buyer, teams running long-horizon agents in production. For long-horizon agents in production, Subconscious is the stronger fit.
What Subconscious and RunInfra 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 profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.
Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Full RunInfra profileShould you choose Subconscious or RunInfra?
Subconscious
Choose Subconscious for
- Long coding sessions where model quality and context beat a flat fee
- Traces past 200K tokens billed on processed tokens
- Dedicated or on-prem long-horizon serving
RunInfra
Choose RunInfra for
- Budget coding plans from $10 a month
- Auto-benchmarked, quantized endpoints without ML ops staff
- Voice pipelines that chain speech and language models
Subconscious vs RunInfra at a glance
| Attribute | Subconscious | RunInfra |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | GLM 5.3, DeepSeek V4.1 Flash | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | 2x faster task completion | Cold starts under 2s |
| Price | 50–80% lower cost; billed on processed tokens | Coding plans from $10 a month |
| Customization | Marathon post-trained variants | Uploads up to 50 GB; auto-quantization |
| Deployment | Managed API, dedicated, on-prem | Model APIs, agent-built endpoints |
| Long context | 5M+ effective context | Varies by model |
Frequently asked questions
What is the difference between Subconscious and RunInfra?
RunInfra sells cheap plans on mid-size models. Subconscious serves GLM 5.3 and DeepSeek V4.1 Flash on a runtime built for long coding agents past 200K tokens.
When should I choose Subconscious over RunInfra?
Long coding sessions where model quality and context beat a flat fee; Traces past 200K tokens billed on processed tokens; Dedicated or on-prem long-horizon serving.
When should I choose RunInfra over Subconscious?
Budget coding plans from $10 a month; Auto-benchmarked, quantized endpoints without ML ops staff; Voice pipelines that chain speech and language models.
Is Subconscious or RunInfra cheaper?
Subconscious: 50–80% lower cost; billed on processed tokens. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, Subconscious or RunInfra?
Subconscious: 5M+ effective context. RunInfra: Varies by model.
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Run your longest agent traces on Subconscious
Point the OpenAI or Anthropic SDK, or the coding agent you already use, at Subconscious. Keep RunInfra for the work it does best and send the long runs to us.