--- title: "GLM-5.2 - Model Details & Comparison" description: "GLM-5.2 from Scx AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/scx-ai/glm-5.2" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/scx-ai/glm-5.2.md" --- # GLM-5.2 - Model Details & Comparison > GLM-5.2 from Scx AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About GLM-5.2 GLM-5.2 is a chat model from Scx-ai, one of 2 chat models they offer. It is priced at $0.55 per 1M input tokens and $1.78 per 1M output tokens, ranking 1805 out of 3648 chat models by cost and cheaper than 50% of models in this category. GLM-5.2 supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 11% among chat models. ## Specifications - **Scx AI Provider.** - **Chat Mode.** - **1,048,576 Max Input Tokens.** - **131,072 Max Output Tokens.** - **131,072 Max Tokens.** - **$0.55 / 1M tokens Input Price.** - **$1.78 / 1M tokens Output Price.** ## Capabilities GLM-5.2 supports: Function Calling, Reasoning, Prompt Caching, Response Schema, Tool Choice. ## GLM-5.2 Pricing Overview At $0.55 per 1M input tokens and $1.78 per 1M output tokens, GLM-5.2 ranks 1805 out of 3648 chat models by input cost. It is competitively priced compared to the median of $0.57 for chat models, and is cheaper than 50% of models in this category. GLM-5.2 is one of 2 Scx-ai chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 11% of chat models. ## Models to Compare Alternatives to GLM-5.2 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | K-EXAONE-2.0-750B-A37B | FriendliAI | $0.60 | $2.40 | | DeepSeek-V3.2 | FriendliAI | $0.50 | $1.50 | | gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | | gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 | | kimi-k2.5 | Moonshot | $0.60 | $3.00 | - [Compare K-EXAONE-2.0-750B-A37B](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/k-exaone-2.0-750b-a37b.md) - [Compare DeepSeek-V3.2](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/deepseek-v3.2.md) - [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/gemini-3-flash-preview.md) - [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/gemini/gemini-3-flash-preview.md) - [Compare kimi-k2.5](https://www.getmaxim.ai/bifrost/model-library/compare/moonshot/kimi-k2.5.md) ## Related Resources - [Calculate GLM-5.2 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai/model/glm-5.2.md) - [All Scx-ai pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/scx-ai.md) ## FAQ ### Is GLM-5.2 cheaper than K-EXAONE-2.0-750B-A37B? Yes. GLM-5.2 costs $0.55 per 1M input tokens compared to K-EXAONE-2.0-750B-A37B's $0.60 per 1M input tokens, making it 9% more affordable. Both are chat models and share support for function calling, reasoning, prompt caching, structured output. ### How does GLM-5.2 pricing compare to the average chat model? GLM-5.2 input pricing is $0.55 per 1M tokens, which is 3% below the median of $0.57 for chat models. It ranks 1805 out of 3648 chat models by input cost, making it cheaper than 50% of models in this category. For output, it costs $1.78 per 1M tokens compared to the median of $1.65. ### What makes GLM-5.2 different from other Scx-ai models? Among Scx-ai's 2 chat models, GLM-5.2 ranks 1 by input cost. ### What are the best alternatives to GLM-5.2? The most comparable chat models to GLM-5.2 are: K-EXAONE-2.0-750B-A37B from FriendliAI ($0.60/1M input tokens); DeepSeek-V3.2 from FriendliAI ($0.50/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library. ### How large is GLM-5.2's context window? GLM-5.2 supports up to 1,048,576 input tokens, placing it in the top 11% of chat models by context window size (rank 215 of 3577). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate GLM-5.2 costs? GLM-5.2 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.55 and generating 1M output tokens costs $1.78. ## Related Resources - [Scx AI models](https://www.getmaxim.ai/bifrost/model-library/provider/scx-ai.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/scx-ai/glm-5.2](https://www.getmaxim.ai/bifrost/model-library/compare/scx-ai/glm-5.2) for AI/LLM consumption.*