Calculate the cost of using qwen3-coder from Vercel Ai Gateway for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 66,536 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
qwen3-coder is a chat model from Vercel Ai Gateway, one of 95 chat models they offer. It is priced at $0.40 per 1M input tokens and $1.60 per 1M output tokens, ranking 1021 out of 2292 chat models by cost and cheaper than 55% of models in this category. qwen3-coder supports 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 66,536 tokens.
At $0.40 per 1M input tokens and $1.60 per 1M output tokens, qwen3-coder ranks 1021 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 55% of models in this category.
qwen3-coder is one of 95 Vercel Ai Gateway chat models, with support for 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-coder |
|---|---|---|---|---|
| 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-coder 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-coder may offer different capabilities or performance characteristics that justify the price difference.
qwen3-coder input pricing is $0.40 per 1M tokens, which is 27% below the median of $0.55 for chat models. It ranks 1021 out of 2292 chat models by input cost, making it cheaper than 55% of models in this category. For output, it costs $1.60 per 1M tokens compared to the median of $1.50.
Among Vercel Ai Gateway's 95 chat models, qwen3-coder ranks 35 by input cost.
The most comparable chat models to qwen3-coder 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-3.5-turbo-0125 from Azure ($0.50/1M 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-coder supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 472 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3-coder 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 $1.60.
