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glm-5.3-fp4 Cost Calculator - Coralbricks

Calculate the cost of using glm-5.3-fp4 from Coralbricks for your AI applications

Pricing data last updated:

glm-5.3-fp4 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Cost Breakdown

Input Cost$0.001120
Output Cost$0.004400
Total Cost$0.005520

Pricing Details

Input: $0.00000112 per token
Output: $0.00000440 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens1,048,576
Max Tokens1,048,576

About glm-5.3-fp4

glm-5.3-fp4 is a chat model from Coralbricks, one of 6 chat models they offer. It is priced at $1.12 per 1M input tokens and $4.40 per 1M output tokens, ranking 2455 out of 3778 chat models by cost and cheaper than 35% of models in this category. glm-5.3-fp4 supports function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 14% among chat models.

Pricing Information

Input Cost$1.12 per 1M tokens
Output Cost$4.40 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 Total Tokens1,048,576

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.

Model Capabilities

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

How glm-5.3-fp4 Pricing Compares

At $1.12 per 1M input tokens and $4.40 per 1M output tokens, glm-5.3-fp4 ranks 2455 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 35% of models in this category.

glm-5.3-fp4 is one of 6 Coralbricks 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 glm-5.3-fp4
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$1.25$10.00+12%
apac.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$1.38$11.00+23%
eu.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$1.38$11.00+23%

Alternatives to glm-5.3-fp4

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$1.25/1M input
+12% vs glm-5.3-fp4
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$1.38/1M input
+23% vs glm-5.3-fp4
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$1.38/1M input
+23% vs glm-5.3-fp4
AWS Bedrock
us.amazon.nova-2-pro-preview-20251202-v1:0
$1.38/1M input
+23% vs glm-5.3-fp4
AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
-11% vs glm-5.3-fp4

Frequently Asked Questions

Is glm-5.3-fp4 cheaper than amazon.nova-2-pro-preview-20251202-v1:0?

Yes. glm-5.3-fp4 costs $1.12 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $1.25 per 1M input tokens, making it 12% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does glm-5.3-fp4 pricing compare to the average chat model?

glm-5.3-fp4 input pricing is $1.12 per 1M tokens, which is 87% above the median of $0.60 for chat models. It ranks 2455 out of 3778 chat models by input cost, making it cheaper than 35% of models in this category. For output, it costs $4.40 per 1M tokens compared to the median of $1.75.

What makes glm-5.3-fp4 different from other Coralbricks models?

Among Coralbricks's 6 chat models, glm-5.3-fp4 ranks 5 by input cost.

What are the best alternatives to glm-5.3-fp4?

The most comparable chat models to glm-5.3-fp4 are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.25/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M 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-fp4's context window?

glm-5.3-fp4 supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 126 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate glm-5.3-fp4 costs?

glm-5.3-fp4 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 $1.12 and generating 1M output tokens costs $4.40.