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qwen3.8-flash Cost Calculator - OpenRouter

Calculate the cost of using qwen3.8-flash from OpenRouter 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$0.00015000
Output Cost$0.00047000
Total Cost$0.00062000

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000004700 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

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 OpenRouter, one of 441 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.47 per 1M output tokens, ranking 691 out of 3254 chat models by cost and cheaper than 78% of models in this category. qwen3.8-flash supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 20% among chat models.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.47 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
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How qwen3.8-flash Pricing Compares

At $0.15 per 1M input tokens and $0.47 per 1M output tokens, qwen3.8-flash ranks 691 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 78% of models in this category.

qwen3.8-flash is one of 441 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 20% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.8-flash
GLM-5.3-FlashFriendliAI$0.15$0.500%
GLM-5.3-FlashTogether AI$0.15$0.500%
mimo-v2.5Novita$0.17$0.34+12%

Alternatives to qwen3.8-flash

Similar chat models from other providers

FriendliAI
GLM-5.3-Flash
$0.15/1M input
0% vs qwen3.8-flash
Together AI
GLM-5.3-Flash
$0.15/1M input
0% vs qwen3.8-flash
Novita
mimo-v2.5
$0.17/1M input
+12% vs qwen3.8-flash
DeepInfra
Qwen3.5-35B-A3B
$0.14/1M input
-7% vs qwen3.8-flash
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
+10% vs qwen3.8-flash

Frequently Asked Questions

Is qwen3.8-flash cheaper than GLM-5.3-Flash?

No. qwen3.8-flash costs $0.15 per 1M input tokens while GLM-5.3-Flash costs $0.15 per 1M input tokens, making GLM-5.3-Flash 0% 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 $0.15 per 1M tokens, which is 71% below the median of $0.52 for chat models. It ranks 691 out of 3254 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.47 per 1M tokens compared to the median of $1.50.

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

Among OpenRouter's 441 chat models, qwen3.8-flash ranks 95 by input cost.

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

The most comparable chat models to qwen3.8-flash are: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); mimo-v2.5 from Novita ($0.17/1M input tokens); Qwen3.5-35B-A3B from DeepInfra ($0.14/1M 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 20% of chat models by context window size (rank 560 of 3025). 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 qwen3.8-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 $0.15 and generating 1M output tokens costs $0.47.