Calculate the cost of using glm-5.2:batch from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 512,000 tokens
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glm-5.2:batch is a chat model from OpenRouter, one of 433 chat models they offer. It is priced at $0.70 per 1M input tokens and $2.20 per 1M output tokens, ranking 1601 out of 2835 chat models by cost and cheaper than 43% of models in this category. glm-5.2:batch supports function calling, reasoning, prompt caching, structured output. Its 512K-token context window is in the top 19% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 512,000 input tokens.
At $0.70 per 1M input tokens and $2.20 per 1M output tokens, glm-5.2:batch ranks 1601 out of 2835 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 43% of models in this category.
glm-5.2:batch is one of 433 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 512K-token context window places it in the top 19% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs glm-5.2:batch |
|---|---|---|---|---|
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +7% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +7% |
| gemini-3.6-flash | Vertex AI | $0.75 | $3.75 | +7% |
Similar chat models from other providers
Yes. glm-5.2:batch costs $0.70 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
glm-5.2:batch input pricing is $0.70 per 1M tokens, which is 27% above the median of $0.55 for chat models. It ranks 1601 out of 2835 chat models by input cost, making it cheaper than 43% of models in this category. For output, it costs $2.20 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 433 chat models, glm-5.2:batch ranks 240 by input cost.
The most comparable chat models to glm-5.2:batch are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); gemini-3.6-flash from Vertex AI ($0.75/1M input tokens); gemini-3.7-flash from Vertex AI ($0.75/1M 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.
glm-5.2:batch supports up to 512,000 input tokens, placing it in the top 19% of chat models by context window size (rank 490 of 2635). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
glm-5.2:batch 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 $0.70 and generating 1M output tokens costs $2.20.