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qwen3-max Cost Calculator - Novita

Calculate the cost of using qwen3-max from Novita for your AI applications

Pricing data last updated:

qwen3-max Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.002110
Output Cost$0.008450
Total Cost$0.010560

Pricing Details

Input: $0.00000211 per token
Output: $0.00000845 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens262,144
Max Output Tokens65,536
Max Tokens65,536

About qwen3-max

qwen3-max is a chat model from Novita, one of 80 chat models they offer. It is priced at $2.11 per 1M input tokens and $8.45 per 1M output tokens, ranking 1724 out of 2161 chat models by cost and cheaper than 20% of models in this category. qwen3-max supports function calling, structured output. Its 262K-token context window is in the top 24% among chat models.

Pricing Information

Input Cost$2.11 per 1M tokens
Output Cost$8.45 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens65,536
Maximum Total Tokens65,536

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 65,536 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How qwen3-max Pricing Compares

At $2.11 per 1M input tokens and $8.45 per 1M output tokens, qwen3-max ranks 1724 out of 2161 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 20% of models in this category.

qwen3-max is one of 80 Novita chat models, with support for function calling, structured output. its 262K-token context window places it in the top 24% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-max
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+4%
apac.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+4%
eu.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+4%

Alternatives to qwen3-max

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+4% vs qwen3-max
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+4% vs qwen3-max
AWS Bedrock
us.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+4% vs qwen3-max
Azure
gpt-5.4
$2.50/1M input
+18% vs qwen3-max

Frequently Asked Questions

Is qwen3-max cheaper than amazon.nova-2-pro-preview-20251202-v1:0?

Yes. qwen3-max costs $2.11 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $2.19 per 1M input tokens, making it 4% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

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

qwen3-max input pricing is $2.11 per 1M tokens, which is 284% above the median of $0.55 for chat models. It ranks 1724 out of 2161 chat models by input cost, making it cheaper than 20% of models in this category. For output, it costs $8.45 per 1M tokens compared to the median of $1.44.

What makes qwen3-max different from other Novita models?

Among Novita's 80 chat models, qwen3-max ranks 80 by input cost.

What are the best alternatives to qwen3-max?

The most comparable chat models to qwen3-max are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M 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 qwen3-max's context window?

qwen3-max supports up to 262,144 input tokens, placing it in the top 24% of chat models by context window size (rank 464 of 2086). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3-max costs?

qwen3-max 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 $2.11 and generating 1M output tokens costs $8.45.