DeepSeek Harness + GLM-5.3
GLM-5.3 is currently selectable with DeepSeek Harness on AgentSky. DeepSeek Harness controls the work loop and tools; the model supplies reasoning and generation. Start a real task below with both choices already selected.
How the combination works
DeepSeek Harness runs the work. GLM-5.3 powers each turn.
DeepSeek Harness runs coding work through a persistent shell and repository workspace while the selected model supplies reasoning and generation.
AgentSky supplies the persistent cloud computer, task state, usage records, and enabled tools or connectors around that combination.
DeepSeek Harness
Owns the agent loop, repository or computer operations, tool calls, and how results are returned.
GLM-5.3
Z.ai's model supplies the reasoning and generated output within DeepSeek Harness's supported interface.
AgentSky
Keeps the selected pair, workspace, task state, access configuration, and itemized usage together.
Current GLM-5.3 facts
What the model is
The current GLM flagship for software engineering and agent workloads, with configurable reasoning effort.
Context window
1M tokens in the current AgentSky catalog.
Accepted input
Text in the current AgentSky catalog.
Model token price
$1.40 / $4.40 per 1M input / output tokens on the displayed AgentSky plan. Runtime and paid tool usage are separate.
Evaluate it on real work
Start with one bounded task and evidence you can inspect.
Specify the repository boundary, reproduction command, expected result, and whether the agent may modify files or should only diagnose.
Open the preselected Composer
The Composer above starts with DeepSeek Harness and GLM-5.3. Add the repository or project and only the tools the task needs.
Adapt this first task
Reproduce this issue, trace the failing path, implement a focused correction, and run the command that proves the original failure is resolved.
Verify the outcome
Check the changed files and rerun the reproduction from a clean state. Verify any model-generated explanation against the code it cites.
Fit and limits
When to choose DeepSeek Harness + GLM-5.3
Cost-conscious coding and shell work where DeepSeek-compatible models and explicit verification fit the task.
This page establishes
- The pair is selectable in the current AgentSky compatibility matrix
- The launch carries both selections into the shared Composer
- Current catalog facts are shown when the gateway publishes them
You still need to measure
- Quality on your own repository or workflow
- End-to-end task time, recovery effort, and human review
- Total task cost, which also depends on runtime, tools, connectors, and token usage
Common questions
Related resources
DeepSeek Harness
Compare every currently supported model for DeepSeek Harness.
GLM-5.3 API
Review the current model specification, token pricing, and API examples.
Compare agent + model
Run the same task across combinations and compare the real outputs.
Pricing
Understand model, runtime, tool, and connector charges.