---
title: "Qwen2.5-VL-32B-Instruct Cost Calculator - DeepInfra"
description: "Calculate the cost of using Qwen2.5-VL-32B-Instruct from DeepInfra. Input costs $0.20 and output $0.60 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/qwen2.5-vl-32b-instruct"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/qwen2.5-vl-32b-instruct.md"
---

# Qwen2.5-VL-32B-Instruct Cost Calculator - DeepInfra

> Calculate the cost of using Qwen2.5-VL-32B-Instruct from DeepInfra. Input costs $0.20 and output $0.60 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo)

## About Qwen2.5-VL-32B-Instruct

Qwen2.5-VL-32B-Instruct is a chat model from DeepInfra, one of 68 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.60 per 1M output tokens, ranking 861 out of 2912 chat models by cost and cheaper than 70% of models in this category. Qwen2.5-VL-32B-Instruct supports vision, function calling. It accepts up to 128K input tokens.

## Pricing

Published DeepInfra pricing for Qwen2.5-VL-32B-Instruct.

- **$0.20 / 1M tokens Input.**
- **$0.60 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **128,000 Max Input Tokens.**
- **128,000 Max Output Tokens.**
- **128,000 Max Tokens.**

## Model Capabilities

Qwen2.5-VL-32B-Instruct supports: Function Calling, Vision, Tool Choice.

## How Pricing Compares

At $0.20 per 1M input tokens and $0.60 per 1M output tokens, Qwen2.5-VL-32B-Instruct ranks 861 out of 2912 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 70% of models in this category.

Qwen2.5-VL-32B-Instruct is one of 68 DeepInfra chat models, with support for vision, function calling.

| Model | Provider | Input $/1M | Output $/1M | vs Qwen2.5-VL-32B-Instruct |
| --- | --- | --- | --- | --- |
| anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% |
| apac.anthropic.claude-3-haiku-20240307-v1:0 | AWS Bedrock | $0.25 | $1.25 | +25% |
| gpt-5.4-nano | Azure | $0.20 | $1.25 | 0% |
| gpt-5.4-nano-2026-03-17 | Azure | $0.20 | $1.25 | 0% |
| gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | -17% |

## More from DeepInfra

- [DeepSeek-V3-0324 ($0.20/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/deepseek-v3-0324.md)
- [DeepSeek-V3.1 ($0.21/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/deepseek-v3.1.md)
- [Llama-Guard-3-8B ($0.18/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-guard-3-8b.md)
- [Llama-Guard-4-12B ($0.18/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-guard-4-12b.md)

## Related Resources

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

## FAQ

### Is Qwen2.5-VL-32B-Instruct cheaper than anthropic.claude-3-haiku-20240307-v1:0?

Yes. Qwen2.5-VL-32B-Instruct costs $0.20 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, structured output.

### How does Qwen2.5-VL-32B-Instruct pricing compare to the average chat model?

Qwen2.5-VL-32B-Instruct input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 861 out of 2912 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.50.

### What makes Qwen2.5-VL-32B-Instruct different from other DeepInfra models?

Among DeepInfra's 68 chat models, Qwen2.5-VL-32B-Instruct ranks 35 by input cost.

### What are the best alternatives to Qwen2.5-VL-32B-Instruct?

The most comparable chat models to Qwen2.5-VL-32B-Instruct are: anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); 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). 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 Qwen2.5-VL-32B-Instruct costs?

Qwen2.5-VL-32B-Instruct 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 $0.20 and generating 1M output tokens costs $0.60.

## Related Resources

- [All DeepInfra pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra.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/bifrost/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/qwen2.5-vl-32b-instruct](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/qwen2.5-vl-32b-instruct) for AI/LLM consumption.*