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Model comparison
Inkling vs GLM-5.3
Compare Inkling and GLM-5.3 using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
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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.
Quick take
Inkling
Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Best for
- Teams that want an adaptable open-weight foundation model
- Agentic coding and tool-use experiments
- Private or specialized deployments with multimodal inputs
Watch out for
A 975B model is a serious serving project even with sparse activation. Compare the exact hosted or self-hosted route, and do not assume the model's 1M maximum context is available on every provider.
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
Inkling 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 | Inkling | GLM-5.3 |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | Up to 1M tokens; Tinker offers 64K and 256K | Up to 1.31M on OpenRouter; 1M on QwenCloud |
| Maximum outputProvider-published response limit, where available. | Not separately published | 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. | Not published | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | Hosting dependent | From $1.15 / 1M on OpenRouter |
| Output priceCurrent standard list price per million output tokens unless noted. | Hosting dependent | From $3.50 / 1M on OpenRouter |
| InputsMedia types accepted by the listed model endpoint. | Text, image, audio | Text |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Agentic coding, tools, Python-assisted vision, controllable thinking | 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.
Inkling
The open weights can be self-hosted so request data stays in infrastructure you control. Tinker and partner-hosted routes have separate retention and training-use terms that must be checked with the selected provider.
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
Inkling vs GLM-5.3 FAQ
What is the main difference between Inkling and GLM-5.3?
Inkling: Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows. 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 Inkling or GLM-5.3?
Consider Inkling when your priority is Teams that want an adaptable open-weight foundation model. 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 Inkling 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.