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qwen3.8-flash Cost Calculator - Aihubmix

Calculate the cost of using qwen3.8-flash from Aihubmix for your AI applications

Pricing data last updated:

qwen3.8-flash Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00011260
Output Cost$0.00038003
Total Cost$0.00049263

Pricing Details

Input: $0.0000001126 per token
Output: $0.0000003800 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 qwen3.8-flash

qwen3.8-flash is a chat model from Aihubmix, one of 72 chat models they offer. It is priced at $0.11 per 1M input tokens and $0.38 per 1M output tokens, ranking 551 out of 3639 chat models by cost and cheaper than 85% of models in this category. qwen3.8-flash 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$0.11 per 1M tokens
Output Cost$0.38 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 qwen3.8-flash Pricing Compares

At $0.11 per 1M input tokens and $0.38 per 1M output tokens, qwen3.8-flash ranks 551 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 85% of models in this category.

qwen3.8-flash 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 qwen3.8-flash
gemini-2.5-flash-liteVertex AI$0.10$0.40-11%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.40-11%
gemini-2.5-flash-lite-preview-06-17Vertex AI$0.10$0.40-11%

Alternatives to qwen3.8-flash

Similar chat models from other providers

Vertex AI
gemini-2.5-flash-lite
$0.10/1M input
-11% vs qwen3.8-flash
Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
-11% vs qwen3.8-flash

Frequently Asked Questions

Is qwen3.8-flash cheaper than gemini-2.5-flash-lite?

No. qwen3.8-flash costs $0.11 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 11% more affordable for input. However, qwen3.8-flash may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3.8-flash pricing compare to the average chat model?

qwen3.8-flash input pricing is $0.11 per 1M tokens, which is 81% below the median of $0.58 for chat models. It ranks 551 out of 3639 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.38 per 1M tokens compared to the median of $1.66.

What makes qwen3.8-flash different from other Aihubmix models?

Among Aihubmix's 72 chat models, qwen3.8-flash ranks 9 by input cost.

What are the best alternatives to qwen3.8-flash?

The most comparable chat models to qwen3.8-flash are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-06-17 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M 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 qwen3.8-flash's context window?

qwen3.8-flash supports up to 1,000,000 input tokens, placing it in the top 23% of chat models by context window size (rank 706 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3.8-flash costs?

qwen3.8-flash 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 $0.11 and generating 1M output tokens costs $0.38.