GLM-5V-Turbo vs GPT-5.2
GLM-5V-Turbo (2026) and GPT-5.2 (2025) are frontier-tier reasoning models from Zhipu AI and OpenAI. GLM-5V-Turbo ships a 200k-token context window, while GPT-5.2 ships a 256K-token context window. On pricing, GLM-5V-Turbo costs $1.2/1M input tokens versus $1.75/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
GLM-5V-Turbo is ~46% cheaper at $1.2/1M; pay for GPT-5.2 only for coding workflow support.
Specs
| Released | 2026-04-01 | 2025-12-11 |
| Context window | 200k | 256K |
| Parameters | 744B total, 40B active | — |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| GLM-5V-Turbo | GPT-5.2 | |
|---|---|---|
| Input price | $1.2/1M tokens | $1.75/1M tokens |
| Output price | $4/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| GLM-5V-Turbo | GPT-5.2 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on code execution: GPT-5.2. Both models share vision, multimodal input, reasoning mode, and function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, GLM-5V-Turbo lists $1.2/1M input and $4/1M output tokens, while GPT-5.2 lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5V-Turbo lower by about $3.38 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose GLM-5V-Turbo when vision-heavy evaluation and lower input-token cost are central to the workload. Choose GPT-5.2 when coding workflow support, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, GLM-5V-Turbo or GPT-5.2?
GPT-5.2 supports 256K tokens, while GLM-5V-Turbo supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GLM-5V-Turbo or GPT-5.2?
GLM-5V-Turbo is cheaper on tracked token pricing. GLM-5V-Turbo costs $1.2/1M input and $4/1M output tokens. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5V-Turbo or GPT-5.2 open source?
GLM-5V-Turbo is listed under Proprietary. GPT-5.2 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GLM-5V-Turbo or GPT-5.2?
Both GLM-5V-Turbo and GPT-5.2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GLM-5V-Turbo or GPT-5.2?
Both GLM-5V-Turbo and GPT-5.2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run GLM-5V-Turbo and GPT-5.2?
GLM-5V-Turbo is available on OpenRouter. GPT-5.2 is available on Replicate API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.