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qwen3.5-397b-a17b Cost Calculator - OpenRouter

Calculate the cost of using qwen3.5-397b-a17b from OpenRouter for your AI applications

Pricing data last updated:

qwen3.5-397b-a17b Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.00039000
Output Cost$0.002340
Total Cost$0.002730

Pricing Details

Input: $0.0000003900 per token
Output: $0.00000234 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

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

About qwen3.5-397b-a17b

qwen3.5-397b-a17b is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.39 per 1M input tokens and $2.34 per 1M output tokens, ranking 1174 out of 2661 chat models by cost and cheaper than 56% of models in this category. qwen3.5-397b-a17b supports vision, function calling, reasoning, structured output. Its 262K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$0.39 per 1M tokens
Output Cost$2.34 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
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Response Schema - Structured output formatting

How qwen3.5-397b-a17b Pricing Compares

At $0.39 per 1M input tokens and $2.34 per 1M output tokens, qwen3.5-397b-a17b ranks 1174 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 56% of models in this category.

qwen3.5-397b-a17b is one of 355 OpenRouter chat models, with support for vision, function calling, reasoning, structured output. its 262K-token context window places it in the top 29% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.5-397b-a17b
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-15%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-15%
us.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75-15%

Alternatives to qwen3.5-397b-a17b

Similar chat models from other providers

AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.33/1M input
-15% vs qwen3.5-397b-a17b
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.33/1M input
-15% vs qwen3.5-397b-a17b
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
-15% vs qwen3.5-397b-a17b
Fireworks AI
qwen3p7-plus
$0.40/1M input
+3% vs qwen3.5-397b-a17b
Mistral
mistral-medium-latest
$0.40/1M input
+3% vs qwen3.5-397b-a17b

Frequently Asked Questions

Is qwen3.5-397b-a17b cheaper than apac.amazon.nova-2-lite-v1:0?

No. qwen3.5-397b-a17b costs $0.39 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.33 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 15% more affordable for input. However, qwen3.5-397b-a17b may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3.5-397b-a17b pricing compare to the average chat model?

qwen3.5-397b-a17b input pricing is $0.39 per 1M tokens, which is 22% below the median of $0.50 for chat models. It ranks 1174 out of 2661 chat models by input cost, making it cheaper than 56% of models in this category. For output, it costs $2.34 per 1M tokens compared to the median of $1.44.

What makes qwen3.5-397b-a17b different from other OpenRouter models?

Among OpenRouter's 355 chat models, qwen3.5-397b-a17b ranks 152 by input cost.

What are the best alternatives to qwen3.5-397b-a17b?

The most comparable chat models to qwen3.5-397b-a17b are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); qwen3p7-plus from Fireworks AI ($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 qwen3.5-397b-a17b's context window?

qwen3.5-397b-a17b supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 578 of 2482). 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 qwen3.5-397b-a17b costs?

qwen3.5-397b-a17b 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 $0.39 and generating 1M output tokens costs $2.34.