---
title: "glm-4.7-flash Cost Calculator - OpenRouter"
description: "Calculate the cost of using glm-4.7-flash from OpenRouter. Input costs $0.06 and output $0.40 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.7-flash"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.7-flash.md"
---

# glm-4.7-flash Cost Calculator - OpenRouter

> Calculate the cost of using glm-4.7-flash from OpenRouter. Input costs $0.06 and output $0.40 per 1M tokens.

## 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-4.7-flash

glm-4.7-flash is a chat model from OpenRouter, one of 473 chat models they offer. It is priced at $0.06 per 1M input tokens and $0.40 per 1M output tokens, ranking 242 out of 3658 chat models by cost and cheaper than 93% of models in this category. glm-4.7-flash supports function calling, reasoning, structured output. It accepts up to 131K input tokens.

## Pricing

Published OpenRouter pricing for glm-4.7-flash.

- **$0.06 / 1M tokens Input.**
- **$0.40 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **131,072 Max Input Tokens.**
- **117,964 Max Output Tokens.**
- **117,964 Max Tokens.**

## Model Capabilities

glm-4.7-flash supports: Function Calling, Reasoning, Response Schema, Tool Choice.

## How Pricing Compares

At $0.06 per 1M input tokens and $0.40 per 1M output tokens, glm-4.7-flash ranks 242 out of 3658 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 93% of models in this category.

glm-4.7-flash is one of 473 OpenRouter chat models, with support for function calling, reasoning, structured output.

| Model | Provider | Input $/1M | Output $/1M | vs glm-4.7-flash |
| --- | --- | --- | --- | --- |
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | -9% |
| gpt-5-nano | Azure | $0.05 | $0.40 | -17% |
| gpt-oss-20b | Fireworks AI | $0.07 | $0.30 | +16% |
| gpt-5-nano | OpenAI | $0.05 | $0.40 | -17% |
| gpt-5-nano-2025-08-07 | OpenAI | $0.05 | $0.40 | -17% |

## More from OpenRouter

- [laguna-xs-2.1 ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/laguna-xs-2.1.md)
- [nemotron-3-nano-30b-a3b ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/nemotron-3-nano-30b-a3b.md)
- [nova-lite-v1 ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/nova-lite-v1.md)
- [granite-4.2-8b ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/granite-4.2-8b.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-4.7-flash cheaper than gpt-5-nano-2025-08-07?

No. glm-4.7-flash costs $0.06 per 1M input tokens while gpt-5-nano-2025-08-07 costs $0.06 per 1M input tokens, making gpt-5-nano-2025-08-07 9% more affordable for input. However, glm-4.7-flash may offer different capabilities or performance characteristics that justify the price difference.

### How does glm-4.7-flash pricing compare to the average chat model?

glm-4.7-flash input pricing is $0.06 per 1M tokens, which is 90% below the median of $0.58 for chat models. It ranks 242 out of 3658 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.61.

### What makes glm-4.7-flash different from other OpenRouter models?

Among OpenRouter's 473 chat models, glm-4.7-flash ranks 35 by input cost.

### What are the best alternatives to glm-4.7-flash?

The most comparable chat models to glm-4.7-flash are: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); gpt-oss-20b from Fireworks AI ($0.07/1M input tokens); gpt-5-nano from OpenAI ($0.05/1M 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-4.7-flash costs?

glm-4.7-flash 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 $0.06 and generating 1M output tokens costs $0.40.

## 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)
- [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/llm-cost-calculator/provider/openrouter/model/glm-4.7-flash](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/glm-4.7-flash) for AI/LLM consumption.*
