# Subconscious vs Boundless

> Both serve GLM-5.3 and DeepSeek V4.1 Flash 1017 on Vercel AI Gateway. Boundless tunes serving to your traffic. Subconscious is built for traces past 200K.

Canonical: https://www.subconscious.dev/compare/subconscious-vs-boundless · By The Subconscious Team · Updated October 29, 2026

## How they compare

Boundless launched in September 2026 as an inference partner for AI-native startups. Its Model API serves open models such as GLM-5.3 at $1.12 in and $3.52 out per million tokens and DeepSeek V4.1 Flash 1017 at $0.24 in and $0.96 out, plus resold GPT and Claude models, with up to 1M context. Its tailored tier reserves capacity and has engineers tune the serving stack against uptime, throughput and latency targets written into the contract, after a free two-week evaluation. Subconscious serves GLM-5.3 and DeepSeek V4.1 Flash 1017 Marathon on a runtime that prunes the KV cache and preserves suffix state. It delivers 2x faster task completion, 50% to 80% lower cost than standard inference and a 5M+ effective context window, and dynamic context compression bills a session of up to 5M tokens as 200K–300K tokens of context.

Both are OpenAI and Anthropic compatible and keep zero data retention. Boundless is a good pick for one API across open and closed models, or for a reserved deployment that its engineers tune to short and medium requests. On coding agents that run past 200K tokens, cost and speed depend on how much context each step rereads. Boundless stops at the 1M window, while Subconscious gets faster and cheaper as traces grow and also offers dedicated and on-prem deployments.

## What each one does

### 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.

### Boundless

Boundless launched in September 2026 as an inference partner for AI-native startups. It sells two things. The Model API serves pre-tuned models on shared capacity, billed per token from prepaid credits with a budget per API key. Tailored inference reserves capacity for one customer, and Boundless engineers pick the model on the customer’s own evals, tune precision, batching, caching, speculative decoding and parallelism, then run the deployment against uptime, throughput and latency targets written into the contract. A free two-week evaluation tests those targets on real traffic against the customer’s current provider first.

## Which is best, and when

### Choose Subconscious for

- Coding agents past 200K tokens
- 5M+ effective context
- Dedicated or on-prem deployment

### Choose Boundless for

- Open and closed models behind one API
- A reserved deployment tuned by its engineers
- SLAs tested free on your own traffic

## At a glance

| Attribute | Subconscious | Boundless |
|---|---|---|
| Model access | Open weights | Open weights, plus closed GPT and Claude |
| Flagship models | GLM 5.3, DeepSeek V4.1 1017 Marathon | GLM-5.3, DeepSeek V4.1 Flash, Kimi K3 |
| Speed | 2x faster task completion | 342 tok/s on DeepSeek V4.1 Flash 1017 (Vercel) |
| Price | 50–80% lower cost; billed on processed tokens | $0.04–$2.30 in, $0.21–$11.40 out per 1M (open) |
| Customization | Marathon post-trained variants | Serving-stack tuning, no fine-tuning |
| Deployment | Managed API, dedicated, on-prem | Serverless API, reserved tailored capacity |
| Long context | 5M+ effective context | 1M context on most models |

## FAQ

### What is the difference between Subconscious and Boundless?

Both serve GLM-5.3 and DeepSeek V4.1 Flash 1017 on Vercel AI Gateway. Boundless tunes serving to your traffic. Subconscious is built for traces past 200K.

### When should I choose Subconscious over Boundless?

Coding agents past 200K tokens; 5M+ effective context; Dedicated or on-prem deployment.

### When should I choose Boundless over Subconscious?

Open and closed models behind one API; A reserved deployment tuned by its engineers; SLAs tested free on your own traffic.

### Is Subconscious or Boundless cheaper?

Subconscious: 50–80% lower cost; billed on processed tokens. Boundless: $0.04–$2.30 in, $0.21–$11.40 out per 1M (open). The cheaper choice depends on the model and workload.

### Which has more context, Subconscious or Boundless?

Subconscious: 5M+ effective context. Boundless: 1M context on most models.

## Try Subconscious

Subconscious speaks the OpenAI and Anthropic API formats. Base URL: https://api.subconscious.dev/v1. Docs: https://docs.subconscious.dev. Get an API key: https://platform.subconscious.dev/signin. Agent guide: https://www.subconscious.dev/agents.md.

Full profiles: [Subconscious](https://www.subconscious.dev/providers/subconscious.md), [Boundless](https://www.subconscious.dev/providers/boundless.md).