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qwen3-vl-8b-thinking Cost Calculator - OpenRouter

Calculate the cost of using qwen3-vl-8b-thinking from OpenRouter for your AI applications

Pricing data last updated:

qwen3-vl-8b-thinking Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 32,768 tokens

Cost Breakdown

Input Cost$0.00011700
Output Cost$0.001365
Total Cost$0.001482

Pricing Details

Input: $0.0000001170 per token
Output: $0.00000137 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens131,072
Max Output Tokens32,768
Max Tokens32,768

About qwen3-vl-8b-thinking

qwen3-vl-8b-thinking is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.12 per 1M input tokens and $1.36 per 1M output tokens, ranking 419 out of 2661 chat models by cost and cheaper than 84% of models in this category. qwen3-vl-8b-thinking supports vision, function calling, reasoning, structured output. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.12 per 1M tokens
Output Cost$1.36 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens32,768
Maximum Total Tokens32,768

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 32,768 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-vl-8b-thinking Pricing Compares

At $0.12 per 1M input tokens and $1.36 per 1M output tokens, qwen3-vl-8b-thinking ranks 419 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 84% of models in this category.

qwen3-vl-8b-thinking is one of 355 OpenRouter chat models, with support for vision, function calling, reasoning, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3-vl-8b-thinking
gemini-2.5-flash-liteVertex AI$0.10$0.40-15%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.40-15%
gemini-2.5-flash-lite-preview-06-17Vertex AI$0.10$0.40-15%

Alternatives to qwen3-vl-8b-thinking

Similar chat models from other providers

Vertex AI
gemini-2.5-flash-lite
$0.10/1M input
-15% vs qwen3-vl-8b-thinking
Vertex AI
gemini-2.5-flash-lite-preview-09-2025
$0.10/1M input
-15% vs qwen3-vl-8b-thinking
Vertex AI
gemini-2.5-flash-lite-preview-06-17
$0.10/1M input
-15% vs qwen3-vl-8b-thinking
Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
-15% vs qwen3-vl-8b-thinking
Google Gemini
gemini-2.5-flash-lite-preview-09-2025
$0.10/1M input
-15% vs qwen3-vl-8b-thinking

Frequently Asked Questions

Is qwen3-vl-8b-thinking cheaper than gemini-2.5-flash-lite?

No. qwen3-vl-8b-thinking costs $0.12 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 15% more affordable for input. However, qwen3-vl-8b-thinking may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3-vl-8b-thinking pricing compare to the average chat model?

qwen3-vl-8b-thinking input pricing is $0.12 per 1M tokens, which is 77% below the median of $0.50 for chat models. It ranks 419 out of 2661 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $1.36 per 1M tokens compared to the median of $1.44.

What makes qwen3-vl-8b-thinking different from other OpenRouter models?

Among OpenRouter's 355 chat models, qwen3-vl-8b-thinking ranks 61 by input cost.

What are the best alternatives to qwen3-vl-8b-thinking?

The most comparable chat models to qwen3-vl-8b-thinking 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 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-vl-8b-thinking costs?

qwen3-vl-8b-thinking 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 $0.12 and generating 1M output tokens costs $1.36.