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qwen3.6-27b-thinking Cost Calculator - Libertai

Calculate the cost of using qwen3.6-27b-thinking from Libertai for your AI applications

Pricing data last updated:

qwen3.6-27b-thinking Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00015000
Output Cost$0.00050000
Total Cost$0.00065000

Pricing Details

Input: $0.0000001500 per token
Output: $0.0000005000 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens262,144
Max Tokens262,144

About qwen3.6-27b-thinking

qwen3.6-27b-thinking is a chat model from Libertai, one of 11 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.50 per 1M output tokens, ranking 502 out of 2292 chat models by cost and cheaper than 77% of models in this category. qwen3.6-27b-thinking supports vision, function calling, reasoning. Its 262K-token context window is in the top 25% among chat models.

Pricing Information

Input Cost$0.15 per 1M tokens
Output Cost$0.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens262,144
Maximum Total Tokens262,144

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 262,144 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
System Messages - Configure model behavior

How qwen3.6-27b-thinking Pricing Compares

At $0.15 per 1M input tokens and $0.50 per 1M output tokens, qwen3.6-27b-thinking ranks 502 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 77% of models in this category.

qwen3.6-27b-thinking is one of 11 Libertai chat models, with support for vision, function calling, reasoning. its 262K-token context window places it in the top 25% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.6-27b-thinking
qwen3-vl-32b-thinkingDashscope$0.16$2.87+7%
qwen3.5-35b-a3bOpenRouter$0.14$1.00-7%
mimo-v2.5OpenRouter$0.14$0.28-7%

Alternatives to qwen3.6-27b-thinking

Similar chat models from other providers

Dashscope
qwen3-vl-32b-thinking
$0.16/1M input
+7% vs qwen3.6-27b-thinking
OpenRouter
qwen3.5-35b-a3b
$0.14/1M input
-7% vs qwen3.6-27b-thinking
OpenRouter
mimo-v2.5
$0.14/1M input
-7% vs qwen3.6-27b-thinking
Novita
ernie-4.5-vl-28b-a3b
$0.14/1M input
-7% vs qwen3.6-27b-thinking
Bedrock Mantle
google.gemma-4-31b
$0.14/1M input
-7% vs qwen3.6-27b-thinking

Frequently Asked Questions

Is qwen3.6-27b-thinking cheaper than qwen3-vl-32b-thinking?

Yes. qwen3.6-27b-thinking costs $0.15 per 1M input tokens compared to qwen3-vl-32b-thinking's $0.16 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning.

How does qwen3.6-27b-thinking pricing compare to the average chat model?

qwen3.6-27b-thinking input pricing is $0.15 per 1M tokens, which is 73% below the median of $0.55 for chat models. It ranks 502 out of 2292 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.50.

What makes qwen3.6-27b-thinking different from other Libertai models?

Among Libertai's 11 chat models, qwen3.6-27b-thinking ranks 5 by input cost.

What are the best alternatives to qwen3.6-27b-thinking?

The most comparable chat models to qwen3.6-27b-thinking are: qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); qwen3.5-35b-a3b from OpenRouter ($0.14/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); ernie-4.5-vl-28b-a3b from Novita ($0.14/1M 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 large is qwen3.6-27b-thinking's context window?

qwen3.6-27b-thinking supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 506 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate qwen3.6-27b-thinking costs?

qwen3.6-27b-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 $0.15 and generating 1M output tokens costs $0.50.