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Model comparison
GPT-5.6 Luna vs GLM-5.3
Compare GPT-5.6 Luna and GLM-5.3 using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 14, 2026
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| GPT-5.6 LunaOpenAI | OpenAI | $0.0018 |
| GLM-5.3Z.ai | Z.ai | No reviewed rate |
Quick take
GPT-5.6 Luna
The budget GPT-5.6 tier for processing many short, repeatable tasks.
Best for
- Data extraction
- Request routing
Watch out for
Low token prices do not guarantee a low task cost if the model needs retries or extensive reasoning.
GLM-5.3
Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Best for
- Long-context coding agents
- Open-weight enterprise experiments
- Teams that want several inference-provider choices
Watch out for
Compare the exact checkpoint and host, not just the model name. Context, maximum output, speed, price, logging, and reasoning controls can all change by route.
Compare the published facts
GPT-5.6 Luna vs GLM-5.3
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | GPT-5.6 Luna | GLM-5.3 |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1.05M tokens | Up to 1.31M on OpenRouter; 1M on QwenCloud |
| Maximum outputProvider-published response limit, where available. | 128K tokens | Up to 262,144 tokens on OpenRouter |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | February 16, 2026 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $0.2 / 1M | From $1.15 / 1M on OpenRouter |
| Output priceCurrent standard list price per million output tokens unless noted. | $1.2 / 1M | From $3.50 / 1M on OpenRouter |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, web/file search, code, computer, MCP | Tools, structured outputs, controllable reasoning on supported routes |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
GPT-5.6 Luna
OpenAI says API inputs and outputs are not used for model training by default. Default abuse-monitoring logs may be retained for up to 30 days; qualifying organizations can request other controls.
Provider and API links
GLM-5.3
Self-hosted weights keep prompts inside infrastructure you control. QwenCloud says it does not retain API inputs or outputs for training; OpenRouter and other providers apply their own route policies.
Frequently asked questions
GPT-5.6 Luna vs GLM-5.3 FAQ
What is the main difference between GPT-5.6 Luna and GLM-5.3?
GPT-5.6 Luna: The budget GPT-5.6 tier for processing many short, repeatable tasks. GLM-5.3: Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Should I choose GPT-5.6 Luna or GLM-5.3?
Consider GPT-5.6 Luna when your priority is Data extraction. Consider GLM-5.3 when your priority is Long-context coding agents. Test both with your own data and provider route before committing.
Is this GPT-5.6 Luna vs GLM-5.3 comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.