Calculate the cost of using qwen3-coder from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 65,536 tokens
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qwen3-coder is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.30 per 1M input tokens and $1.00 per 1M output tokens, ranking 1025 out of 2661 chat models by cost and cheaper than 59% of models in this category. qwen3-coder supports function calling, prompt caching, structured output. Its 262K-token context window is in the top 29% 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 65,536 tokens.
At $0.30 per 1M input tokens and $1.00 per 1M output tokens, qwen3-coder ranks 1025 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 59% of models in this category.
qwen3-coder is one of 355 OpenRouter chat models, with support for function calling, prompt caching, structured output. its 262K-token context window places it in the top 29% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-coder |
|---|---|---|---|---|
| amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.30 | $2.50 | 0% |
| apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% |
| eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | +10% |
Similar chat models from other providers
No. qwen3-coder costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, qwen3-coder may offer different capabilities or performance characteristics that justify the price difference.
qwen3-coder input pricing is $0.30 per 1M tokens, which is 40% below the median of $0.50 for chat models. It ranks 1025 out of 2661 chat models by input cost, making it cheaper than 59% of models in this category. For output, it costs $1.00 per 1M tokens compared to the median of $1.44.
Among OpenRouter's 355 chat models, qwen3-coder ranks 133 by input cost.
The most comparable chat models to qwen3-coder are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); 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). 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 29% of chat models by context window size (rank 573 of 2482). 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-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 $0.30 and generating 1M output tokens costs $1.00.