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qwen-3.8-max Cost Calculator - Kyma

Calculate the cost of using qwen-3.8-max from Kyma for your AI applications

Pricing data last updated:

qwen-3.8-max Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.002228
Output Cost$0.006684
Total Cost$0.008912

Pricing Details

Input: $0.00000223 per token
Output: $0.00000668 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens131,072

About qwen-3.8-max

qwen-3.8-max is a chat model from Kyma, one of 83 chat models they offer. It is priced at $2.23 per 1M input tokens and $6.68 per 1M output tokens, ranking 3280 out of 4040 chat models by cost and cheaper than 19% of models in this category. qwen-3.8-max supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$2.23 per 1M tokens
Output Cost$6.68 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 131,072 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 qwen-3.8-max Pricing Compares

At $2.23 per 1M input tokens and $6.68 per 1M output tokens, qwen-3.8-max ranks 3280 out of 4040 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 19% of models in this category.

qwen-3.8-max is one of 83 Kyma chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 29% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen-3.8-max
anthropic.claude-sonnet-5AWS Bedrock$2.00$10.00-10%
global.anthropic.claude-sonnet-5AWS Bedrock$2.00$10.00-10%
us.anthropic.claude-sonnet-5AWS Bedrock$2.20$11.00-1%

Alternatives to qwen-3.8-max

Similar chat models from other providers

AWS Bedrock
anthropic.claude-sonnet-5
$2.00/1M input
-10% vs qwen-3.8-max
AWS Bedrock
global.anthropic.claude-sonnet-5
$2.00/1M input
-10% vs qwen-3.8-max
AWS Bedrock
us.anthropic.claude-sonnet-5
$2.20/1M input
-1% vs qwen-3.8-max
AWS Bedrock
eu.anthropic.claude-sonnet-5
$2.20/1M input
-1% vs qwen-3.8-max
AWS Bedrock
au.anthropic.claude-sonnet-5
$2.20/1M input
-1% vs qwen-3.8-max

Frequently Asked Questions

Is qwen-3.8-max cheaper than anthropic.claude-sonnet-5?

No. qwen-3.8-max costs $2.23 per 1M input tokens while anthropic.claude-sonnet-5 costs $2.00 per 1M input tokens, making anthropic.claude-sonnet-5 10% more affordable for input. However, qwen-3.8-max may offer different capabilities or performance characteristics that justify the price difference.

How does qwen-3.8-max pricing compare to the average chat model?

qwen-3.8-max input pricing is $2.23 per 1M tokens, which is 271% above the median of $0.60 for chat models. It ranks 3280 out of 4040 chat models by input cost, making it cheaper than 19% of models in this category. For output, it costs $6.68 per 1M tokens compared to the median of $1.80.

What makes qwen-3.8-max different from other Kyma models?

Among Kyma's 83 chat models, qwen-3.8-max ranks 61 by input cost.

What are the best alternatives to qwen-3.8-max?

The most comparable chat models to qwen-3.8-max are: anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); global.anthropic.claude-sonnet-5 from AWS Bedrock ($2.00/1M input tokens); us.anthropic.claude-sonnet-5 from AWS Bedrock ($2.20/1M input tokens); eu.anthropic.claude-sonnet-5 from AWS Bedrock ($2.20/1M 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 qwen-3.8-max's context window?

qwen-3.8-max supports up to 1,000,000 input tokens, placing it in the top 29% of chat models by context window size (rank 982 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen-3.8-max costs?

qwen-3.8-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 $2.23 and generating 1M output tokens costs $6.68.