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qwen3.7-max Cost Calculator - Opencode

Calculate the cost of using qwen3.7-max from Opencode for your AI applications

Pricing data last updated:

qwen3.7-max Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.002500
Output Cost$0.007500
Total Cost$0.010000

Pricing Details

Input: $0.00000250 per token
Output: $0.00000750 per token
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About qwen3.7-max

qwen3.7-max is a chat model from Opencode, one of 48 chat models they offer. It is priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens, ranking 1894 out of 2292 chat models by cost and cheaper than 17% of models in this category.

Pricing Information

Input Cost$2.50 per 1M tokens
Output Cost$7.50 per 1M tokens

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

How qwen3.7-max Pricing Compares

At $2.50 per 1M input tokens and $7.50 per 1M output tokens, qwen3.7-max ranks 1894 out of 2292 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 17% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.7-max
us.writer.palmyra-x4-v1:0AWS Bedrock$2.50$10.000%
writer.palmyra-x4-v1:0AWS Bedrock$2.50$10.000%
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50-12%

Alternatives to qwen3.7-max

Similar chat models from other providers

AWS Bedrock
us.writer.palmyra-x4-v1:0
$2.50/1M input
0% vs qwen3.7-max
AWS Bedrock
writer.palmyra-x4-v1:0
$2.50/1M input
0% vs qwen3.7-max
AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs qwen3.7-max
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs qwen3.7-max
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
-12% vs qwen3.7-max

Frequently Asked Questions

Is qwen3.7-max cheaper than us.writer.palmyra-x4-v1:0?

No. qwen3.7-max costs $2.50 per 1M input tokens while us.writer.palmyra-x4-v1:0 costs $2.50 per 1M input tokens, making us.writer.palmyra-x4-v1:0 0% more affordable for input. However, qwen3.7-max may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3.7-max pricing compare to the average chat model?

qwen3.7-max input pricing is $2.50 per 1M tokens, which is 355% above the median of $0.55 for chat models. It ranks 1894 out of 2292 chat models by input cost, making it cheaper than 17% of models in this category. For output, it costs $7.50 per 1M tokens compared to the median of $1.50.

What makes qwen3.7-max different from other Opencode models?

Among Opencode's 48 chat models, qwen3.7-max ranks 35 by input cost.

What are the best alternatives to qwen3.7-max?

The most comparable chat models to qwen3.7-max are: us.writer.palmyra-x4-v1:0 from AWS Bedrock ($2.50/1M input tokens); writer.palmyra-x4-v1:0 from AWS Bedrock ($2.50/1M input tokens); 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). 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 qwen3.7-max costs?

qwen3.7-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 $2.50 and generating 1M output tokens costs $7.50.