---
title: "glm-4.6 Cost Calculator - OpenRouter"
description: "Calculate the cost of using glm-4.6 from OpenRouter. Input costs $0.55 and output $2.20 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.6"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.6.md"
---

# glm-4.6 Cost Calculator - OpenRouter

> Calculate the cost of using glm-4.6 from OpenRouter. Input costs $0.55 and output $2.20 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About glm-4.6

glm-4.6 is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $0.55 per 1M input tokens and $2.20 per 1M output tokens, ranking 1839 out of 3778 chat models by cost and cheaper than 51% of models in this category. glm-4.6 supports function calling, reasoning, prompt caching, structured output. Its 205K-token context window is in the top 50% among chat models.

## Pricing

Published OpenRouter pricing for glm-4.6.

- **$0.55 / 1M tokens Input.**
- **$2.20 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **204,800 Max Input Tokens.**
- **131,072 Max Output Tokens.**
- **131,072 Max Tokens.**

## Model Capabilities

glm-4.6 supports: Function Calling, Reasoning, Prompt Caching, Response Schema, Tool Choice.

## How Pricing Compares

At $0.55 per 1M input tokens and $2.20 per 1M output tokens, glm-4.6 ranks 1839 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 51% of models in this category.

glm-4.6 is one of 502 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 205K-token context window places it in the top 50% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs glm-4.6 |
| --- | --- | --- | --- | --- |
| DeepSeek-V3.2 | FriendliAI | $0.50 | $1.50 | -9% |
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | -9% |
| gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 | -9% |
| mistral-large-4 | Mistral | $0.68 | $2.09 | +24% |
| mistral-large-4-0 | Mistral | $0.68 | $2.09 | +24% |

## More from OpenRouter

- [minimax-m1 ($0.55/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/minimax-m1.md)
- [o4-mini:batch ($0.55/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/o4-mini-batch.md)
- [skyfall-36b-v2 ($0.55/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/skyfall-36b-v2.md)
- [o3-mini:batch ($0.55/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/o3-mini-batch.md)

## Related Resources

- [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md)
- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)

## FAQ

### Is glm-4.6 cheaper than DeepSeek-V3.2?

No. glm-4.6 costs $0.55 per 1M input tokens while DeepSeek-V3.2 costs $0.50 per 1M input tokens, making DeepSeek-V3.2 9% more affordable for input. However, glm-4.6 may offer different capabilities or performance characteristics that justify the price difference.

### How does glm-4.6 pricing compare to the average chat model?

glm-4.6 input pricing is $0.55 per 1M tokens, which is 8% below the median of $0.60 for chat models. It ranks 1839 out of 3778 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $2.20 per 1M tokens compared to the median of $1.75.

### What makes glm-4.6 different from other OpenRouter models?

Among OpenRouter's 502 chat models, glm-4.6 ranks 236 by input cost.

### What are the best alternatives to glm-4.6?

The most comparable chat models to glm-4.6 are: 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); mistral-large-4 from Mistral ($0.68/1M 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 do I check if OpenRouter is down?

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.

### How do I calculate glm-4.6 costs?

glm-4.6 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 $2.20.

## Related Resources

- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md)
- [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/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.6](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.6) for AI/LLM consumption.*
