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
request sketch
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.

SWE-bench Verified80.6%
V4 Pro 0813
80.6%
Claude Opus 4.7
87.6%
Claude Opus 4.8
88.6%
GPT-5.5
82.6%
SWE-bench Pro55.4%
V4 Pro 0813
55.4%
Claude Opus 4.7
64.3%
Claude Opus 4.8
69.2%
GPT-5.5
58.6%
MCP-Atlas73.6%
V4 Pro 0813
73.6%
Claude Opus 4.7
77.3%
Claude Opus 4.8
82.2%
GPT-5.5
75.3%

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.

DimensionCue CloudClaude APIGPT API
WeightsOpen Hub checkpoints we deployClosedClosed
Where it runsCue Cloud owned fleetAnthropic APIOpenAI API
LineupDeepSeek V4 · Kimi K2.7 Code · GLM 5.2Opus 4.7 / 4.8 classGPT-5.5 class
Pricing$500/mo · 1 pack · 1B tokensUsage-based · unbounded spendUsage-based · unbounded spend
Seatcue_… key on a live packOrg / workspace keysOrg / project keys
Lock-inSwap open models on our metalVendor model lockVendor model lock
ProofHugging Face links on every cardClosed weightsClosed weights

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.

Back to explorer
change theme