productmodels.md
Open coding models
Cue Cloud serves DeepSeek V4 Pro 0813, Flash 0731, Kimi K2.7 Code, and GLM 5.2 from Hugging Face, plus Kimi K3. Kimi K3 is on Cue. Model id ships with the public API list.
Open weights. We deploy them.
Cue Cloud serves open-weight coding models we pull from Hugging Face and run on hardware we operate — not a closed frontier API with a Cue sticker. Check the Hub pages yourself. Kimi K3 is on Cue. Model id ships with the public API list.
Flagship models we serve
DeepSeek V4 Pro 0813
Open-weight coding flagship
deepseek-v4-pro- Context
- 1M tokens
- Architecture
- MoE · 1.6T total / 49B active
- Weights
- Open (we deploy from Hugging Face)
- License
- MIT
- Best for
- Default agent loops, SWE workloads, long-context coding
- Frontier-class coding scores on open weights
- Million-token context for repo-scale work
- Cue Cloud serves the Hub checkpoint on our fleet
POST /v1/chat/completions
Authorization: Bearer cue_••••••••
Content-Type: application/json
{
"model": "deepseek-v4-pro",
"messages": [
{ "role": "user", "content": "fix the failing test" }
]
}Benchmarks
Frontier-class coding on open weights
Scores for DeepSeek V4 Pro 0813 from the upstream model card. Cue Cloud deploys these weights — we are not inventing a private bake-off.
DeepSeek V4 Pro 0813 scores: vendor-reported Think Max on Hugging Face. Frontier peers: published Opus 4.7 / 4.8 / GPT-5.5 coding comparisons. Not Cue Cloud latency or tok/s.
Verify on Hugging Face →How Cue Cloud compares to frontier APIs
Job fit, not a fake bake-off. We deploy open Hub checkpoints on our fleet at $500/mo · 1 pack · 1B tokens — not a thin proxy in front of Claude or GPT.
Open weights we deploy
These are public Hub checkpoints — not a closed frontier API. Cue Cloud downloads and serves them on hardware we operate. Every model card links to Hugging Face so you can verify the source.
Why not a closed frontier API
Open weights keep the coding loop inspectable and portable. We are not a thin proxy in front of someone else's chat endpoint. Model choice and serving sit with Cue Cloud.
Hardware we run
Inference runs on machines we operate. Capacity, routing, and cost sit with Cue Cloud. The models above decode on that fleet, not on a rented third-party chat API.
Tuned for coding agents
Tool-using turns, repo-scale context, and concurrent agent loops are the normal case. Chat playground demos are not the design target.
Kimi K3
Kimi K3 is on Cue. Model id ships with the public API list.