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qwen3.7-plus Cost Calculator - Aihubmix

Calculate the cost of using qwen3.7-plus from Aihubmix for your AI applications

Pricing data last updated:

qwen3.7-plus Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00028200
Output Cost$0.001128
Total Cost$0.001410

Pricing Details

Input: $0.0000002820 per token
Output: $0.00000113 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning
Web Search

Limits

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

About qwen3.7-plus

qwen3.7-plus is a chat model from Aihubmix, one of 72 chat models they offer. It is priced at $0.28 per 1M input tokens and $1.13 per 1M output tokens, ranking 1285 out of 3639 chat models by cost and cheaper than 65% of models in this category. qwen3.7-plus supports vision, function calling, reasoning, web search, prompt caching, structured output. Its 1,000K-token context window is in the top 23% among chat models.

Pricing Information

Input Cost$0.28 per 1M tokens
Output Cost$1.13 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
Maximum Total 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
Web Search - Access real-time web information
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How qwen3.7-plus Pricing Compares

At $0.28 per 1M input tokens and $1.13 per 1M output tokens, qwen3.7-plus ranks 1285 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 65% of models in this category.

qwen3.7-plus is one of 72 Aihubmix chat models, with support for vision, function calling, reasoning, web search, prompt caching, structured output. its 1,000K-token context window places it in the top 23% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.7-plus
gemini-2.5-flashVertex AI$0.30$2.50+6%
gemini-2.5-flash-preview-09-2025Vertex AI$0.30$2.50+6%
gemini-2.5-flashGoogle Gemini$0.30$2.50+6%

Alternatives to qwen3.7-plus

Similar chat models from other providers

Vertex AI
gemini-2.5-flash
$0.30/1M input
+6% vs qwen3.7-plus
Google Gemini
gemini-2.5-flash
$0.30/1M input
+6% vs qwen3.7-plus
Google Gemini
gemini-2.5-flash-preview-09-2025
$0.30/1M input
+6% vs qwen3.7-plus
Google Gemini
gemini-flash-lite-latest
$0.30/1M input
+6% vs qwen3.7-plus

Frequently Asked Questions

Is qwen3.7-plus cheaper than gemini-2.5-flash?

Yes. qwen3.7-plus costs $0.28 per 1M input tokens compared to gemini-2.5-flash's $0.30 per 1M input tokens, making it 6% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

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

qwen3.7-plus input pricing is $0.28 per 1M tokens, which is 51% below the median of $0.58 for chat models. It ranks 1285 out of 3639 chat models by input cost, making it cheaper than 65% of models in this category. For output, it costs $1.13 per 1M tokens compared to the median of $1.66.

What makes qwen3.7-plus different from other Aihubmix models?

Among Aihubmix's 72 chat models, qwen3.7-plus ranks 21 by input cost.

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

The most comparable chat models to qwen3.7-plus are: gemini-2.5-flash from Vertex AI ($0.30/1M input tokens); gemini-2.5-flash-preview-09-2025 from Vertex AI ($0.30/1M input tokens); gemini-2.5-flash from Google Gemini ($0.30/1M input tokens); gemini-2.5-flash-preview-09-2025 from Google Gemini ($0.30/1M 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 qwen3.7-plus's context window?

qwen3.7-plus supports up to 1,000,000 input tokens, placing it in the top 23% of chat models by context window size (rank 704 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3.7-plus costs?

qwen3.7-plus 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 $0.28 and generating 1M output tokens costs $1.13.