Calculate the cost of using qwen3.6-27b from Libertai for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 262,144 tokens
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qwen3.6-27b 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 501 out of 2292 chat models by cost and cheaper than 77% of models in this category. qwen3.6-27b supports vision, function calling. Its 262K-token context window is in the top 25% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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.
At $0.15 per 1M input tokens and $0.50 per 1M output tokens, qwen3.6-27b ranks 501 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 is one of 11 Libertai chat models, with support for vision, function calling. its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.6-27b |
|---|---|---|---|---|
| gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | +10% |
| gpt-4o-mini | Azure | $0.15 | $0.60 | 0% |
| qwen3-vl-32b-instruct | Dashscope | $0.16 | $0.64 | +7% |
Similar chat models from other providers
Yes. qwen3.6-27b costs $0.15 per 1M input tokens compared to gpt-4o-mini-2024-07-18's $0.17 per 1M input tokens, making it 10% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
qwen3.6-27b input pricing is $0.15 per 1M tokens, which is 73% below the median of $0.55 for chat models. It ranks 501 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.
Among Libertai's 11 chat models, qwen3.6-27b ranks 4 by input cost.
The most comparable chat models to qwen3.6-27b are: gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); gpt-4o-mini from Azure ($0.15/1M input tokens); qwen3-vl-32b-instruct from Dashscope ($0.16/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M 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.
qwen3.6-27b supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 505 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3.6-27b 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.
