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Qwen3-VL-235B-A22B-Thinking Cost Calculator - Hugging Face

Calculate the cost of using Qwen3-VL-235B-A22B-Thinking from Hugging Face for your AI applications

Pricing data last updated:

Qwen3-VL-235B-A22B-Thinking Cost Calculator

Mode: Chat

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.00098000
Output Cost$0.003950
Total Cost$0.004930

Pricing Details

Input: $0.0000009800 per token
Output: $0.00000395 per token
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Model Specifications

Capabilities

Function Calling
Vision

Limits

Max Input Tokens131,072
Max Tokens131,072

About Qwen3-VL-235B-A22B-Thinking

Qwen3-VL-235B-A22B-Thinking is a chat model from Hugging Face, one of 182 chat models they offer. It is priced at $0.98 per 1M input tokens and $3.95 per 1M output tokens, ranking 1710 out of 2628 chat models by cost and cheaper than 35% of models in this category. Qwen3-VL-235B-A22B-Thinking supports vision, function calling. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.98 per 1M tokens
Output Cost$3.95 per 1M tokens

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

Technical Specifications

Maximum Input 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 131,072 input tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images

How Qwen3-VL-235B-A22B-Thinking Pricing Compares

At $0.98 per 1M input tokens and $3.95 per 1M output tokens, Qwen3-VL-235B-A22B-Thinking ranks 1710 out of 2628 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 35% of models in this category.

Qwen3-VL-235B-A22B-Thinking is one of 182 Hugging Face chat models, with support for vision, function calling.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Qwen3-VL-235B-A22B-Thinking
amazon.nova-pro-v1:0AWS Bedrock$0.80$3.20-18%
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.00+2%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.00+2%

Alternatives to Qwen3-VL-235B-A22B-Thinking

Similar chat models from other providers

AWS Bedrock
amazon.nova-pro-v1:0
$0.80/1M input
-18% vs Qwen3-VL-235B-A22B-Thinking
AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
+2% vs Qwen3-VL-235B-A22B-Thinking
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
+2% vs Qwen3-VL-235B-A22B-Thinking
AWS Bedrock
apac.amazon.nova-pro-v1:0
$0.84/1M input
-14% vs Qwen3-VL-235B-A22B-Thinking
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
+12% vs Qwen3-VL-235B-A22B-Thinking

Frequently Asked Questions

Is Qwen3-VL-235B-A22B-Thinking cheaper than amazon.nova-pro-v1:0?

No. Qwen3-VL-235B-A22B-Thinking costs $0.98 per 1M input tokens while amazon.nova-pro-v1:0 costs $0.80 per 1M input tokens, making amazon.nova-pro-v1:0 18% more affordable for input. However, Qwen3-VL-235B-A22B-Thinking may offer different capabilities or performance characteristics that justify the price difference.

How does Qwen3-VL-235B-A22B-Thinking pricing compare to the average chat model?

Qwen3-VL-235B-A22B-Thinking input pricing is $0.98 per 1M tokens, which is 96% above the median of $0.50 for chat models. It ranks 1710 out of 2628 chat models by input cost, making it cheaper than 35% of models in this category. For output, it costs $3.95 per 1M tokens compared to the median of $1.44.

What makes Qwen3-VL-235B-A22B-Thinking different from other Hugging Face models?

Among Hugging Face's 182 chat models, Qwen3-VL-235B-A22B-Thinking ranks 161 by input cost.

What are the best alternatives to Qwen3-VL-235B-A22B-Thinking?

The most comparable chat models to Qwen3-VL-235B-A22B-Thinking are: amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); apac.amazon.nova-pro-v1:0 from AWS Bedrock ($0.84/1M 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 Hugging Face is down?

You can monitor Hugging Face service health in real time on the Bifrost Hugging Face 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-235B-A22B-Thinking costs?

Qwen3-VL-235B-A22B-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 $0.98 and generating 1M output tokens costs $3.95.