Calculate the cost of using qwen3.8-27b from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 131,072 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
qwen3.8-27b is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $0.42 per 1M input tokens and $2.55 per 1M output tokens, ranking 1490 out of 3254 chat models by cost and cheaper than 54% of models in this category. qwen3.8-27b supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 20% 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 1,000,000 input tokens. The maximum output length is 131,072 tokens.
At $0.42 per 1M input tokens and $2.55 per 1M output tokens, qwen3.8-27b ranks 1490 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 54% of models in this category.
qwen3.8-27b is one of 441 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 20% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.8-27b |
|---|---|---|---|---|
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 | +18% |
| gemini-3-flash-preview | Google Gemini | $0.50 | $3.00 | +18% |
| deepseek-v4-flash-vision-exp | DeepSeek | $0.44 | $1.32 | +4% |
Similar chat models from other providers
Yes. qwen3.8-27b costs $0.42 per 1M input tokens compared to gemini-3-flash-preview's $0.50 per 1M input tokens, making it 18% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
qwen3.8-27b input pricing is $0.42 per 1M tokens, which is 18% below the median of $0.52 for chat models. It ranks 1490 out of 3254 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $2.55 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 441 chat models, qwen3.8-27b ranks 196 by input cost.
The most comparable chat models to qwen3.8-27b are: gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens); deepseek-v4-flash-vision-exp from DeepSeek ($0.44/1M input tokens); deepseek-v4-flash-vision-exp from Novita ($0.44/1M 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.
qwen3.8-27b supports up to 1,000,000 input tokens, placing it in the top 20% of chat models by context window size (rank 561 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3.8-27b 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 $0.42 and generating 1M output tokens costs $2.55.