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Qwen3-Max-Thinking Cost Calculator - DeepInfra

Calculate the cost of using Qwen3-Max-Thinking from DeepInfra for your AI applications

Pricing data last updated:

Qwen3-Max-Thinking Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.001200
Output Cost$0.006000
Total Cost$0.007200

Pricing Details

Input: $0.00000120 per token
Output: $0.00000600 per token
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Model Specifications

Capabilities

✓Function Calling

Limits

Max Input Tokens256,000
Max Output Tokens256,000

About Qwen3-Max-Thinking

Qwen3-Max-Thinking is a chat model from DeepInfra, one of 136 chat models they offer. It is priced at $1.20 per 1M input tokens and $6.00 per 1M output tokens, ranking 2677 out of 4040 chat models by cost and cheaper than 34% of models in this category. Qwen3-Max-Thinking supports function calling, prompt caching, structured output. It accepts up to 256K input tokens.

Pricing Information

Input Cost$1.20 per 1M tokens
Output Cost$6.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens256,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 256,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Prompt Caching - Optimize repeated prompts
✓Response Schema - Structured output formatting

How Qwen3-Max-Thinking Pricing Compares

At $1.20 per 1M input tokens and $6.00 per 1M output tokens, Qwen3-Max-Thinking ranks 2677 out of 4040 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 34% of models in this category.

Qwen3-Max-Thinking is one of 136 DeepInfra chat models, with support for function calling, prompt caching, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs Qwen3-Max-Thinking
abliterated-modelAbliteration$1.00$3.00-17%
abliterated-model-large-flashAbliteration$1.00$2.00-17%
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$1.25$10.00+4%

Alternatives to Qwen3-Max-Thinking

Similar chat models from other providers

Abliteration
abliterated-model
$1.00/1M input
-17% vs Qwen3-Max-Thinking
Abliteration
abliterated-model-large-flash
$1.00/1M input
-17% vs Qwen3-Max-Thinking
AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$1.25/1M input
+4% vs Qwen3-Max-Thinking
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$1.38/1M input
+15% vs Qwen3-Max-Thinking
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$1.38/1M input
+15% vs Qwen3-Max-Thinking

Frequently Asked Questions

Is Qwen3-Max-Thinking cheaper than abliterated-model?

No. Qwen3-Max-Thinking costs $1.20 per 1M input tokens while abliterated-model costs $1.00 per 1M input tokens, making abliterated-model 17% more affordable for input. However, Qwen3-Max-Thinking may offer different capabilities or performance characteristics that justify the price difference.

How does Qwen3-Max-Thinking pricing compare to the average chat model?

Qwen3-Max-Thinking input pricing is $1.20 per 1M tokens, which is 100% above the median of $0.60 for chat models. It ranks 2677 out of 4040 chat models by input cost, making it cheaper than 34% of models in this category. For output, it costs $6.00 per 1M tokens compared to the median of $1.80.

What makes Qwen3-Max-Thinking different from other DeepInfra models?

Among DeepInfra's 136 chat models, Qwen3-Max-Thinking ranks 117 by input cost.

What are the best alternatives to Qwen3-Max-Thinking?

The most comparable chat models to Qwen3-Max-Thinking are: abliterated-model from Abliteration ($1.00/1M input tokens); abliterated-model-large-flash from Abliteration ($1.00/1M input tokens); amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.25/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($1.38/1M 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-Max-Thinking costs?

Qwen3-Max-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 $1.20 and generating 1M output tokens costs $6.00.