The inference API designed for agents.
The Subconscious API serves open weight models in Marathon Mode. Far cheaper, faster, and with an extended context window.
On long tasks vs. standard inference providers:
- Faster task completion
2x
- Lower cost
50%+
- Higher accuracy
1-10%
$1,000 of long agent sessions buys
Assumes one session is 750 steps. Subconscious allows more workloads with faster speed and higher accuracy due to context compression and highly efficient caching.
Speed and accuracy that hold deep into a run.
General-purpose runtimes slow down as context grows, and models get noisier as the thread fills with stale tool output. Compressing that noise at runtime keeps generation fast and gives the model a cleaner view of the task.
- Faster task completion
2x
- Measured at 200k+ tokens of context, same model and hardware.
- DeepSWE accuracy for GLM-5.2
46%
- Against 44% for the same model on standard inference systems, at a lower cost per task.
DeepSWE (Long-Horizon Agentic Coding Benchmark)
Better accuracy, at a lower cost per task.
Sessions that keep going, and the agents that unlocks.
Runs keep their history past the model’s window instead of hitting a wall or being compacted into a summary that drops what mattered. Once cost and context stop being the ceiling, a different class of agent becomes shippable.
Trace tokens
0.00
Standard inference
0.00
Subconscious
0.00
Tokens avoided
0.00
0.0% less
Data-heavy agents
Research, coding, and document understanding, where the thread grows all run.
Multi-modal agents
Browser automation, computer use, and image generation orchestration.
Workflow automation
Long, multi-step runs fanning out across MCP servers and internal tools.
Latency-sensitive agents
Translation, voice agents, and control flows a user is waiting on.
Get started in minutes.
Every model on the Subconscious API is served in both the OpenAI and the Anthropic format. Pick the one your agent already speaks, and the request below is the whole change.
API format
Language
Endpoint
https://api.subconscious.dev/v1/chat/completions
Model
subconscious/glm-5.3-marathon
Works with
OpenAI SDK
Intact
Tool calls, streaming, structured output
from openai import OpenAI
client = OpenAI(
base_url="https://api.subconscious.dev/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="subconscious/glm-5.3-marathon",
messages=[
{
"role": "user",
"content": "Refactor the billing module and update every affected test.",
}
],
)
print(response.choices[0].message.content)Start building on the Subconscious API.
Sign up, mint a key, change the base URL. Feel the difference in minutes.
What people say after their first run.
“It was faster than a lot of LLMs I've used, and it was easy to set up.”
Cedric Prentice
Software Engineer @ Wayfair
“Very cool, easy to use!”
Bill Simmons
Co-Founder @ Orbit.me
“Very interesting alternative to OpenAI”
Dave Gogi
Founder @ Signal X
“Pretty fast and fun to use”
Nihir Kothari
Founder @ Sidekick Software
“It worked very well and provided accurate descriptions of the images we passed in. The API costs were very cheap.”
Sam Mayle
Researcher @ Mitsubishi Electric Research Lab
“It was faster than a lot of LLMs I've used, and it was easy to set up.”
Cedric Prentice
Software Engineer @ Wayfair
“Very cool, easy to use!”
Bill Simmons
Co-Founder @ Orbit.me
“Very interesting alternative to OpenAI”
Dave Gogi
Founder @ Signal X
“Pretty fast and fun to use”
Nihir Kothari
Founder @ Sidekick Software
“It worked very well and provided accurate descriptions of the images we passed in. The API costs were very cheap.”
Sam Mayle
Researcher @ Mitsubishi Electric Research Lab
“It was faster than a lot of LLMs I've used, and it was easy to set up.”
Cedric Prentice
Software Engineer @ Wayfair
“Very cool, easy to use!”
Bill Simmons
Co-Founder @ Orbit.me
“Very interesting alternative to OpenAI”
Dave Gogi
Founder @ Signal X
“Pretty fast and fun to use”
Nihir Kothari
Founder @ Sidekick Software
“It worked very well and provided accurate descriptions of the images we passed in. The API costs were very cheap.”
Sam Mayle
Researcher @ Mitsubishi Electric Research Lab
“It was faster than a lot of LLMs I've used, and it was easy to set up.”
Cedric Prentice
Software Engineer @ Wayfair
“Very cool, easy to use!”
Bill Simmons
Co-Founder @ Orbit.me
“Very interesting alternative to OpenAI”
Dave Gogi
Founder @ Signal X
“Pretty fast and fun to use”
Nihir Kothari
Founder @ Sidekick Software
“It worked very well and provided accurate descriptions of the images we passed in. The API costs were very cheap.”
Sam Mayle
Researcher @ Mitsubishi Electric Research Lab
“Made the whole process very easy!”
Smruthi Ramesh
Lead Data Scientist @ Schneider Electric
“It was really fast!!”
Inder Singh
UDE
“Easy to use, great UI”
Yassine Fatimi
Founder @ ClauseGuard
“Pretty easy to use. No brainer. Easy drop in for OpenAI.”
Hansen Liang
Founder @ stealth
“Made the whole process very easy!”
Smruthi Ramesh
Lead Data Scientist @ Schneider Electric
“It was really fast!!”
Inder Singh
UDE
“Easy to use, great UI”
Yassine Fatimi
Founder @ ClauseGuard
“Pretty easy to use. No brainer. Easy drop in for OpenAI.”
Hansen Liang
Founder @ stealth
“Made the whole process very easy!”
Smruthi Ramesh
Lead Data Scientist @ Schneider Electric
“It was really fast!!”
Inder Singh
UDE
“Easy to use, great UI”
Yassine Fatimi
Founder @ ClauseGuard
“Pretty easy to use. No brainer. Easy drop in for OpenAI.”
Hansen Liang
Founder @ stealth
“Made the whole process very easy!”
Smruthi Ramesh
Lead Data Scientist @ Schneider Electric
“It was really fast!!”
Inder Singh
UDE
“Easy to use, great UI”
Yassine Fatimi
Founder @ ClauseGuard
“Pretty easy to use. No brainer. Easy drop in for OpenAI.”
Hansen Liang
Founder @ stealth
Outgrow the API?
Take control and get maximum cost savings. We set up a dedicated endpoint tuned to your workload, in our cloud or inside yours.
Talk to us about dedicated- Models
- Any open model, or bring your own
- Capacity
- Dedicated GPUs, no rate limits
- Deployment
- Our cloud, or inside yours
- Billing
- Per-GPU under management