Calculate the cost of using qwen3.6-27b from Groq for your AI applications
Pricing data last updated:
Mode: Chat
Max: 131,072 tokens
Max: 16,384 tokens
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qwen3.6-27b is a chat model from Groq, one of 14 chat models they offer. It is priced at $0.60 per 1M input tokens and $3.00 per 1M output tokens, ranking 1512 out of 2912 chat models by cost and cheaper than 46% of models in this category. qwen3.6-27b supports vision, function calling, reasoning. It accepts up to 131K input tokens.
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 131,072 input tokens. The maximum output length is 16,384 tokens.
At $0.60 per 1M input tokens and $3.00 per 1M output tokens, qwen3.6-27b ranks 1512 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 46% of models in this category.
qwen3.6-27b is one of 14 Groq chat models, with support for vision, function calling, reasoning.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.6-27b |
|---|---|---|---|---|
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +25% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +25% |
| FW-Kimi-K2.5 | Azure | $0.66 | $3.30 | +10% |
Similar chat models from other providers
Yes. qwen3.6-27b costs $0.60 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
qwen3.6-27b input pricing is $0.60 per 1M tokens, which is 9% above the median of $0.55 for chat models. It ranks 1512 out of 2912 chat models by input cost, making it cheaper than 46% of models in this category. For output, it costs $3.00 per 1M tokens compared to the median of $1.50.
Among Groq's 14 chat models, qwen3.6-27b ranks 13 by input cost.
The most comparable chat models to qwen3.6-27b are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); FW-Kimi-K2.5 from Azure ($0.66/1M input tokens); kimi-k2.6 from Azure ($0.60/1M 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.
You can monitor Groq service health in real time on the Bifrost Groq Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
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 $0.60 and generating 1M output tokens costs $3.00.