---
title: "qwen3-vl Cost Calculator - Inferenceapis"
description: "Calculate the cost of using qwen3-vl from Inferenceapis. Input costs $0.26 and output $1.15 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl.md"
---

# qwen3-vl Cost Calculator - Inferenceapis

> Calculate the cost of using qwen3-vl from Inferenceapis. Input costs $0.26 and output $1.15 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md)
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- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing.md)
- [Docs](https://docs.getbifrost.ai)
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- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About qwen3-vl

qwen3-vl is a chat model from Inferenceapis, one of 36 chat models they offer. It is priced at $0.26 per 1M input tokens and $1.15 per 1M output tokens, ranking 1290 out of 3778 chat models by cost and cheaper than 66% of models in this category. qwen3-vl supports vision, function calling. Its 262K-token context window is in the top 45% among chat models.

## Pricing

Published Inferenceapis pricing for qwen3-vl.

- **$0.26 / 1M tokens Input.**
- **$1.15 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **262,144 Max Tokens.**

## Model Capabilities

qwen3-vl supports: Function Calling, Vision, Tool Choice.

## How Pricing Compares

At $0.26 per 1M input tokens and $1.15 per 1M output tokens, qwen3-vl ranks 1290 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 66% of models in this category.

qwen3-vl is one of 36 Inferenceapis chat models, with support for vision, function calling. its 262K-token context window places it in the top 45% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs qwen3-vl |
| --- | --- | --- | --- | --- |
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | +15% |
| gpt-5-mini-2025-08-07 | Azure | $0.28 | $2.20 | +6% |
| gpt-5-mini | Azure | $0.25 | $2.00 | -4% |
| gpt-5.6-luna | Azure | $0.22 | $1.32 | -15% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | Azure | $0.25 | $1.00 | -4% |

## More from Inferenceapis

- [Qwen3-VL-235B-A22B-Instruct ($0.26/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl-235b-a22b-instruct.md)
- [qwen3-vl-235b ($0.26/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl-235b.md)
- [glm-5.3-flash ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/glm-5.3-flash.md)
- [gpt-oss-120b ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/gpt-oss-120b.md)

## Related Resources

- [All Inferenceapis pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis.md)

## FAQ

### Is qwen3-vl cheaper than amazon.nova-2-lite-v1:0?

Yes. qwen3-vl costs $0.26 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 15% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

### How does qwen3-vl pricing compare to the average chat model?

qwen3-vl input pricing is $0.26 per 1M tokens, which is 57% below the median of $0.60 for chat models. It ranks 1290 out of 3778 chat models by input cost, making it cheaper than 66% of models in this category. For output, it costs $1.15 per 1M tokens compared to the median of $1.75.

### What makes qwen3-vl different from other Inferenceapis models?

Among Inferenceapis's 36 chat models, qwen3-vl ranks 23 by input cost.

### What are the best alternatives to qwen3-vl?

The most comparable chat models to qwen3-vl are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M input tokens); gpt-5.6-luna from Azure ($0.22/1M 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 calculate qwen3-vl costs?

qwen3-vl 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 $0.26 and generating 1M output tokens costs $1.15.

## Related Resources

- [All Inferenceapis pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/inferenceapis/model/qwen3-vl) for AI/LLM consumption.*