GLM-5 9B vs GPT-5.4-Cyber

Name: GLM-5 9B
Author: Zhipu AI

GLM-5 9B (2026) and GPT-5.4-Cyber (2026) are frontier-tier reasoning models from Zhipu AI and OpenAI. GLM-5 9B ships a 262k-token context window, while GPT-5.4-Cyber ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

GPT-5.4-Cyber is safer overall; choose GLM-5 9B when provider fit matters.

Decision scorecard

Local evidence first

Signal	GLM-5 9B	GPT-5.4-Cyber	How to read it
Best for	reasoning-heavy apps and tool-calling agents	reasoning-heavy apps and multimodal apps	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	RAG, Agents, and Long context	Vision	Primary workload tags from local decision data.
Context window	262k	—	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	-	-	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	0 tracked	0 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 shared	0 shared	No shared benchmark scores are available for this pair yet.

Decision tradeoffs

Choose GLM-5 9B when...

GLM-5 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
GLM-5 9B uniquely exposes JSON / Tool use in local model data.
Local decision data tags GLM-5 9B for RAG, Agents, and Long context.

Choose GPT-5.4-Cyber when...

GPT-5.4-Cyber uniquely exposes Vision and Multimodal in local model data.
Local decision data tags GPT-5.4-Cyber for Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Requests / monthInput tokens / requestOutput tokens / request

GLM-5 9B

Unavailable

No complete token price in local provider data

GPT-5.4-Cyber

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

GLM-5 9B -> GPT-5.4-Cyber

No overlapping tracked provider route is sourced for GLM-5 9B and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
Check replacement coverage for JSON / Tool use before moving production traffic.
GPT-5.4-Cyber adds Vision and Multimodal in local capability data.

GPT-5.4-Cyber -> GLM-5 9B

No overlapping tracked provider route is sourced for GPT-5.4-Cyber and GLM-5 9B; plan for SDK, billing, or endpoint changes.
Check replacement coverage for Vision and Multimodal before moving production traffic.
GLM-5 9B adds JSON / Tool use in local capability data.

Specs

Specification	GLM-5 9B Zhipu AI	GPT-5.4-Cyber OpenAI
Released	2026-02-15	2026-04-14
Context window	262k	—
Parameters	9	—
Architecture	Decoder Only	Decoder Only
License	MITOSI-approved	Proprietary
Openness	Open source	Proprietary
Weights	Available	Not released
Code	Unknown	Unknown
Commercial use	Commercial use: permitted	Commercial use: conditional
Knowledge cutoff	2025-11	2025-08

Pricing and availability

Pricing attribute	GLM-5 9B	GPT-5.4-Cyber
Input price	-	-
Output price	-	-
Providers	-	-

Pricing not yet sourced for either model.

Capabilities

Capability	GLM-5 9B	GPT-5.4-Cyber
Vision	No	Yes
Multimodal	No	Yes
Reasoning	Yes	Yes
JSON / Tool use	Yes	No
Structured outputs	No	No
Code execution	No	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Model pages

Labs and families

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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.

Both models

GLM-5 9B GPT-5.4-Cyber