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FW-GLM-5.3-Flash Cost Calculator - Azure

Calculate the cost of using FW-GLM-5.3-Flash from Azure for your AI applications

Pricing data last updated:

FW-GLM-5.3-Flash Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00018800
Output Cost$0.00062500
Total Cost$0.00081300

Pricing Details

Input: $0.0000001880 per token
Output: $0.0000006250 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens131,072
Max Tokens131,072

About FW-GLM-5.3-Flash

FW-GLM-5.3-Flash is a chat model from Azure, one of 304 chat models they offer. It is priced at $0.19 per 1M input tokens and $0.63 per 1M output tokens, ranking 924 out of 3781 chat models by cost and cheaper than 76% of models in this category. FW-GLM-5.3-Flash supports function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 14% among chat models.

Pricing Information

Input Cost$0.19 per 1M tokens
Output Cost$0.63 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens131,072
Maximum Total Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 131,072 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts

How FW-GLM-5.3-Flash Pricing Compares

At $0.19 per 1M input tokens and $0.63 per 1M output tokens, FW-GLM-5.3-Flash ranks 924 out of 3781 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 76% of models in this category.

FW-GLM-5.3-Flash is one of 304 Azure chat models, with support for function calling, reasoning, prompt caching. its 1,049K-token context window places it in the top 14% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs FW-GLM-5.3-Flash
deepseek-v4-flashDashscope$0.20$0.40+6%
deepseek-v4-flash-0731Dashscope$0.20$0.40+6%
deepseek-v4-flashQwencloud$0.20$0.40+6%

Alternatives to FW-GLM-5.3-Flash

Similar chat models from other providers

Dashscope
deepseek-v4-flash
$0.20/1M input
+6% vs FW-GLM-5.3-Flash
Dashscope
deepseek-v4-flash-0731
$0.20/1M input
+6% vs FW-GLM-5.3-Flash
Qwencloud
deepseek-v4-flash
$0.20/1M input
+6% vs FW-GLM-5.3-Flash
Qwencloud
deepseek-v4-flash-0731
$0.20/1M input
+6% vs FW-GLM-5.3-Flash
Qwen Ai Platform
deepseek-v4-flash
$0.20/1M input
+6% vs FW-GLM-5.3-Flash

Frequently Asked Questions

Is FW-GLM-5.3-Flash cheaper than deepseek-v4-flash?

Yes. FW-GLM-5.3-Flash costs $0.19 per 1M input tokens compared to deepseek-v4-flash's $0.20 per 1M input tokens, making it 6% more affordable. Both are chat models and share support for function calling, reasoning, prompt caching, structured output.

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

FW-GLM-5.3-Flash input pricing is $0.19 per 1M tokens, which is 69% below the median of $0.60 for chat models. It ranks 924 out of 3781 chat models by input cost, making it cheaper than 76% of models in this category. For output, it costs $0.63 per 1M tokens compared to the median of $1.75.

What makes FW-GLM-5.3-Flash different from other Azure models?

Among Azure's 304 chat models, FW-GLM-5.3-Flash ranks 48 by input cost.

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

The most comparable chat models to FW-GLM-5.3-Flash are: deepseek-v4-flash from Dashscope ($0.20/1M input tokens); deepseek-v4-flash-0731 from Dashscope ($0.20/1M input tokens); deepseek-v4-flash from Qwencloud ($0.20/1M input tokens); deepseek-v4-flash-0731 from Qwencloud ($0.20/1M 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 FW-GLM-5.3-Flash's context window?

FW-GLM-5.3-Flash supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 298 of 3502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Azure AI is down?

You can monitor Azure AI service health in real time on the Bifrost Azure AI 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 FW-GLM-5.3-Flash costs?

FW-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 $0.19 and generating 1M output tokens costs $0.63.