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qwen3-8b Cost Calculator - Llamagate

Calculate the cost of using qwen3-8b from Llamagate for your AI applications

Pricing data last updated:

qwen3-8b Cost Calculator

Mode: Chat

Max: 32,768 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00004000
Output Cost$0.00014000
Total Cost$0.00018000

Pricing Details

Input: $0.0000000400 per token
Output: $0.0000001400 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens32,768
Max Output Tokens8,192
Max Tokens8,192

About qwen3-8b

qwen3-8b is a chat model from Llamagate, one of 14 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.14 per 1M output tokens, ranking 77 out of 2172 chat models by cost and cheaper than 96% of models in this category. qwen3-8b supports function calling, structured output. It accepts up to 33K input tokens.

Pricing Information

Input Cost$0.04 per 1M tokens
Output Cost$0.14 per 1M tokens

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

Technical Specifications

Maximum Input Tokens32,768
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,768 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How qwen3-8b Pricing Compares

At $0.04 per 1M input tokens and $0.14 per 1M output tokens, qwen3-8b ranks 77 out of 2172 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 96% of models in this category.

qwen3-8b is one of 14 Llamagate chat models, with support for function calling, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-8b
amazon.nova-micro-v1:0AWS Bedrock$0.04$0.14-12%
apac.amazon.nova-micro-v1:0AWS Bedrock$0.04$0.15-8%
gpt-5-nanoAzure$0.05$0.40+25%

Alternatives to qwen3-8b

Similar chat models from other providers

AWS Bedrock
amazon.nova-micro-v1:0
$0.04/1M input
-12% vs qwen3-8b
AWS Bedrock
apac.amazon.nova-micro-v1:0
$0.04/1M input
-8% vs qwen3-8b
Azure
gpt-5-nano
$0.05/1M input
+25% vs qwen3-8b
AWS Bedrock
eu.amazon.nova-micro-v1:0
$0.05/1M input
+15% vs qwen3-8b

Frequently Asked Questions

Is qwen3-8b cheaper than amazon.nova-micro-v1:0?

No. qwen3-8b costs $0.04 per 1M input tokens while amazon.nova-micro-v1:0 costs $0.04 per 1M input tokens, making amazon.nova-micro-v1:0 12% more affordable for input. However, qwen3-8b may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3-8b pricing compare to the average chat model?

qwen3-8b input pricing is $0.04 per 1M tokens, which is 93% below the median of $0.55 for chat models. It ranks 77 out of 2172 chat models by input cost, making it cheaper than 96% of models in this category. For output, it costs $0.14 per 1M tokens compared to the median of $1.48.

What makes qwen3-8b different from other Llamagate models?

Among Llamagate's 14 chat models, qwen3-8b ranks 4 by input cost.

What are the best alternatives to qwen3-8b?

The most comparable chat models to qwen3-8b are: amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M 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 do I calculate qwen3-8b costs?

qwen3-8b 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 $0.04 and generating 1M output tokens costs $0.14.