Try Bifrost Enterprise free for 14 days.
Request access

glm-5.3-flash:batch Cost Calculator - OpenRouter

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

Pricing data last updated:

glm-5.3-flash:batch Cost Calculator

Mode: Chat

Max: 1,048,575 tokens

Max: 943,717 tokens

Cost Breakdown

Input Cost$0.00015000
Output Cost$0.00050000
Total Cost$0.00065000

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000005000 per token
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens1,048,575
Max Output Tokens943,717
Max Tokens943,717

About glm-5.3-flash:batch

glm-5.3-flash:batch is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 692 out of 3254 chat models by cost and cheaper than 78% of models in this category. glm-5.3-flash:batch supports vision, function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 10% among chat models.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,575
Maximum Output Tokens943,717
Maximum Total Tokens943,717

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,575 input tokens. The maximum output length is 943,717 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How glm-5.3-flash:batch Pricing Compares

At $0.15 per 1M input tokens and $0.50 per 1M output tokens, glm-5.3-flash:batch ranks 692 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 78% of models in this category.

glm-5.3-flash:batch is one of 441 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 10% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs glm-5.3-flash:batch
GLM-5.3-FlashFriendliAI$0.15$0.500%
GLM-5.3-FlashTogether AI$0.15$0.500%
mimo-v2.5Novita$0.17$0.34+12%

Alternatives to glm-5.3-flash:batch

Similar chat models from other providers

FriendliAI
GLM-5.3-Flash
$0.15/1M input
0% vs glm-5.3-flash:batch
Together AI
GLM-5.3-Flash
$0.15/1M input
0% vs glm-5.3-flash:batch
Novita
mimo-v2.5
$0.17/1M input
+12% vs glm-5.3-flash:batch
DeepInfra
Qwen3.5-35B-A3B
$0.14/1M input
-7% vs glm-5.3-flash:batch
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
+10% vs glm-5.3-flash:batch

Frequently Asked Questions

Is glm-5.3-flash:batch cheaper than GLM-5.3-Flash?

No. glm-5.3-flash:batch costs $0.15 per 1M input tokens while GLM-5.3-Flash costs $0.15 per 1M input tokens, making GLM-5.3-Flash 0% more affordable for input. However, glm-5.3-flash:batch may offer different capabilities or performance characteristics that justify the price difference.

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

glm-5.3-flash:batch input pricing is $0.15 per 1M tokens, which is 71% below the median of $0.52 for chat models. It ranks 692 out of 3254 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 $1.50.

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

Among OpenRouter's 441 chat models, glm-5.3-flash:batch ranks 96 by input cost.

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

The most comparable chat models to glm-5.3-flash:batch are: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); mimo-v2.5 from Novita ($0.17/1M input tokens); Qwen3.5-35B-A3B from DeepInfra ($0.14/1M 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:batch's context window?

glm-5.3-flash:batch supports up to 1,048,575 input tokens, placing it in the top 10% of chat models by context window size (rank 304 of 3025). 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-flash:batch costs?

glm-5.3-flash: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 $0.15 and generating 1M output tokens costs $0.50.