Calculate the cost of using qwen3-vl-8b-thinking from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 32,768 tokens
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qwen3-vl-8b-thinking is a chat model from OpenRouter, one of 432 chat models they offer. It is priced at $0.18 per 1M input tokens and $2.10 per 1M output tokens, ranking 655 out of 2788 chat models by cost and cheaper than 76% of models in this category. qwen3-vl-8b-thinking supports vision, function calling, reasoning, structured output. It accepts up to 131K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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.
At $0.18 per 1M input tokens and $2.10 per 1M output tokens, qwen3-vl-8b-thinking ranks 655 out of 2788 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 76% of models in this category.
qwen3-vl-8b-thinking is one of 432 OpenRouter chat models, with support for vision, function calling, reasoning, structured output.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-vl-8b-thinking |
|---|---|---|---|---|
| gpt-5.4-nano | Azure | $0.20 | $1.25 | +11% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | +11% |
| gpt-5.6-luna | Azure | $0.20 | $1.20 | +11% |
Similar chat models from other providers
Yes. qwen3-vl-8b-thinking costs $0.18 per 1M input tokens compared to gpt-5.4-nano's $0.20 per 1M input tokens, making it 11% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
qwen3-vl-8b-thinking input pricing is $0.18 per 1M tokens, which is 67% below the median of $0.55 for chat models. It ranks 655 out of 2788 chat models by input cost, making it cheaper than 76% of models in this category. For output, it costs $2.10 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 432 chat models, qwen3-vl-8b-thinking ranks 104 by input cost.
The most comparable chat models to qwen3-vl-8b-thinking are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5.6-luna from Azure ($0.20/1M input tokens); gpt-5.6-luna from OpenAI ($0.20/1M 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.
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.
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 $0.18 and generating 1M output tokens costs $2.10.