Calculate the cost of using Qwen3.8-27B from Wandb for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Qwen3.8-27B is a chat model from Wandb, one of 35 chat models they offer. It is priced at $0.40 per 1M input tokens and $3.00 per 1M output tokens, ranking 1458 out of 3254 chat models by cost and cheaper than 55% of models in this category. Qwen3.8-27B supports vision, prompt caching — one of only 7 chat models with this combination. Its 262K-token context window is in the top 37% 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.
At $0.40 per 1M input tokens and $3.00 per 1M output tokens, Qwen3.8-27B ranks 1458 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 55% of models in this category.
Qwen3.8-27B is one of 35 Wandb chat models, one of only 7 chat models combining prompt caching, vision. its 262K-token context window places it in the top 37% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Qwen3.8-27B |
|---|---|---|---|---|
| apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% |
| eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% |
| us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% |
Similar chat models from other providers
No. Qwen3.8-27B costs $0.40 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.33 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 17% more affordable for input. However, Qwen3.8-27B may offer different capabilities or performance characteristics that justify the price difference.
Qwen3.8-27B input pricing is $0.40 per 1M tokens, which is 22% below the median of $0.52 for chat models. It ranks 1458 out of 3254 chat models by input cost, making it cheaper than 55% of models in this category. For output, it costs $3.00 per 1M tokens compared to the median of $1.50.
Among Wandb's 35 chat models, Qwen3.8-27B ranks 23 by input cost. Its combination of prompt caching, vision is shared by only 6 other chat models.
The most comparable chat models to Qwen3.8-27B are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); gpt-4.1-mini from Azure ($0.40/1M 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 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 $0.40 and generating 1M output tokens costs $3.00.