GLM-5 Turbo vs GPT-5.4-Cyber
GLM-5 Turbo (2026) and GPT-5.4-Cyber (2026) are frontier-tier reasoning models from Zhipu AI and OpenAI. GLM-5 Turbo ships a 200k-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 Turbo when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM-5 Turbo | GPT-5.4-Cyber |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | reasoning-heavy apps and multimodal apps |
| Decision fit | RAG, Agents, and Long context | Vision |
| Context window | 200k | — |
| Cheapest output | $4/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5 Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 Turbo has broader tracked provider coverage for fallback and route flexibility.
- GLM-5 Turbo uniquely exposes JSON / Tool use and Structured outputs in local model data.
- Local decision data tags GLM-5 Turbo for RAG, Agents, and Long context.
- 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.
GLM-5 Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
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
- No overlapping tracked provider route is sourced for GLM-5 Turbo and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
- GPT-5.4-Cyber adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.4-Cyber and GLM-5 Turbo; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- GLM-5 Turbo adds JSON / Tool use and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2026-04-14 |
| Context window | 200k | — |
| Parameters | 744B total, 40B active | — |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Unknown | 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 Turbo | GPT-5.4-Cyber |
|---|---|---|
| Input price | $1.20/1M tokens | - |
| Output price | $4/1M tokens | - |
| Providers | - |
Capabilities
| Capability | GLM-5 Turbo | GPT-5.4-Cyber |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | 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
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.