---
title: "GLM-5.3-Flash Cost Calculator - Nebius"
description: "Calculate the cost of using GLM-5.3-Flash from Nebius. Input costs $0.15 and output $0.50 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/glm-5.3-flash"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/glm-5.3-flash.md"
---

# GLM-5.3-Flash Cost Calculator - Nebius

> Calculate the cost of using GLM-5.3-Flash from Nebius. Input costs $0.15 and output $0.50 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-5.3-Flash

GLM-5.3-Flash is a chat model from Nebius, one of 55 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 702 out of 3639 chat models by cost and cheaper than 78% of models in this category. GLM-5.3-Flash supports function calling, reasoning. Its 1,024K-token context window is in the top 13% among chat models.

## Pricing

Published Nebius pricing for GLM-5.3-Flash.

- **$0.15 / 1M tokens Input.**
- **$0.50 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **1,024,000 Max Input Tokens.**
- **1,024,000 Max Output Tokens.**
- **1,024,000 Max Tokens.**

## Model Capabilities

GLM-5.3-Flash supports: Function Calling, Reasoning.

## How Pricing Compares

At $0.15 per 1M input tokens and $0.50 per 1M output tokens, GLM-5.3-Flash ranks 702 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 78% of models in this category.

GLM-5.3-Flash is one of 55 Nebius chat models, with support for function calling, reasoning. its 1,024K-token context window places it in the top 13% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs GLM-5.3-Flash |
| --- | --- | --- | --- | --- |
| Phi-4-reasoning | Azure | $0.13 | $0.50 | -17% |
| qwen3-next-80b-a3b-thinking | Dashscope | $0.15 | $1.20 | 0% |
| qwen3-vl-32b-thinking | Dashscope | $0.16 | $2.87 | +7% |
| qwen3-next-80b-a3b-thinking | Qwencloud | $0.15 | $1.20 | 0% |
| qwen3-vl-32b-thinking | Qwencloud | $0.16 | $2.87 | +7% |

## More from Nebius

- [QwQ-32B ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/qwq-32b.md)
- [gpt-oss-120b ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/gpt-oss-120b.md)
- [Qwen3-Next-80B-A3B-Thinking ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/qwen3-next-80b-a3b-thinking.md)
- [DeepSeek-V4-Flash ($0.14/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/deepseek-v4-flash.md)

## Related Resources

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

## FAQ

### Is GLM-5.3-Flash cheaper than Phi-4-reasoning?

No. GLM-5.3-Flash costs $0.15 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 17% more affordable for input. However, GLM-5.3-Flash may offer different capabilities or performance characteristics that justify the price difference.

### How does GLM-5.3-Flash pricing compare to the average chat model?

GLM-5.3-Flash input pricing is $0.15 per 1M tokens, which is 74% below the median of $0.58 for chat models. It ranks 702 out of 3639 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.66.

### What makes GLM-5.3-Flash different from other Nebius models?

Among Nebius's 55 chat models, GLM-5.3-Flash ranks 27 by input cost.

### What are the best alternatives to GLM-5.3-Flash?

The most comparable chat models to GLM-5.3-Flash are: Phi-4-reasoning from Azure ($0.13/1M input tokens); qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); qwen3-next-80b-a3b-thinking from Qwencloud ($0.15/1M 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-5.3-Flash's context window?

GLM-5.3-Flash supports up to 1,024,000 input tokens, placing it in the top 13% of chat models by context window size (rank 432 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I calculate GLM-5.3-Flash costs?

GLM-5.3-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 $0.15 and generating 1M output tokens costs $0.50.

## Related Resources

- [All Nebius pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius.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/nebius/model/glm-5.3-flash](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/nebius/model/glm-5.3-flash) for AI/LLM consumption.*