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glm-5.3:batch Cost Calculator - OpenRouter

Calculate the cost of using glm-5.3:batch from OpenRouter for your AI applications

Pricing data last updated:

glm-5.3:batch Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00045000
Output Cost$0.002000
Total Cost$0.002450

Pricing Details

Input: $0.0000004500 per token
Output: $0.00000200 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 glm-5.3:batch

glm-5.3:batch is a chat model from OpenRouter, one of 491 chat models they offer. It is priced at $0.45 per 1M input tokens and $2.00 per 1M output tokens, ranking 1839 out of 4040 chat models by cost and cheaper than 54% of models in this category. glm-5.3:batch supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 15% among chat models.

Pricing Information

Input Cost$0.45 per 1M tokens
Output Cost$2.00 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
✓Response Schema - Structured output formatting

How glm-5.3:batch Pricing Compares

At $0.45 per 1M input tokens and $2.00 per 1M output tokens, glm-5.3:batch ranks 1839 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 54% of models in this category.

glm-5.3:batch is one of 491 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 15% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs glm-5.3:batch
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.40$3.31-12%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.43$3.60-5%
databricks-gemini-3-5-flash-liteDatabricks$0.37$3.13-17%

Alternatives to glm-5.3:batch

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.40/1M input
-12% vs glm-5.3:batch
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.43/1M input
-5% vs glm-5.3:batch
Databricks
databricks-gemini-3-5-flash-lite
$0.37/1M input
-17% vs glm-5.3:batch
Sail
gemma-4-31B-it
$0.40/1M input
-11% vs glm-5.3:batch
FriendliAI
DeepSeek-V3.2
$0.50/1M input
+11% vs glm-5.3:batch

Frequently Asked Questions

Is glm-5.3:batch cheaper than apac.amazon.nova-2-lite-v1:0?

No. glm-5.3:batch costs $0.45 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.40 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 12% more affordable for input. However, glm-5.3:batch may offer different capabilities or performance characteristics that justify the price difference.

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

glm-5.3:batch input pricing is $0.45 per 1M tokens, which is 25% below the median of $0.60 for chat models. It ranks 1839 out of 4040 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $2.00 per 1M tokens compared to the median of $1.80.

What makes glm-5.3:batch different from other OpenRouter models?

Among OpenRouter's 491 chat models, glm-5.3:batch ranks 211 by input cost.

What are the best alternatives to glm-5.3:batch?

The most comparable chat models to glm-5.3:batch are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.40/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.43/1M input tokens); databricks-gemini-3-5-flash-lite from Databricks ($0.37/1M input tokens); gemma-4-31B-it from Sail ($0.40/1M 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:batch's context window?

glm-5.3:batch supports up to 1,048,576 input tokens, placing it in the top 15% of chat models by context window size (rank 463 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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-5.3:batch costs?

glm-5.3:batch 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 $0.45 and generating 1M output tokens costs $2.00.