Calculate the cost of using qwen.qwen3-coder-next from AWS Bedrock for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 8,192 tokens
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qwen.qwen3-coder-next is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.60 per 1M input tokens and $1.44 per 1M output tokens, ranking 1171 out of 2292 chat models by cost and cheaper than 45% of models in this category. qwen.qwen3-coder-next 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 8,192 tokens.
At $0.60 per 1M input tokens and $1.44 per 1M output tokens, qwen.qwen3-coder-next ranks 1171 out of 2292 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 45% of models in this category.
qwen.qwen3-coder-next is one of 317 AWS Bedrock 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 qwen.qwen3-coder-next |
|---|---|---|---|---|
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +25% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +25% |
| gpt-4o-mini-realtime-preview-2024-12-17 | Azure | $0.66 | $2.64 | +10% |
Similar chat models from other providers
Yes. qwen.qwen3-coder-next 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.
qwen.qwen3-coder-next input pricing is $0.60 per 1M tokens, which is 9% above the median of $0.55 for chat models. It ranks 1171 out of 2292 chat models by input cost, making it cheaper than 45% of models in this category. For output, it costs $1.44 per 1M tokens compared to the median of $1.50.
Among AWS Bedrock's 317 chat models, qwen.qwen3-coder-next ranks 124 by input cost.
The most comparable chat models to qwen.qwen3-coder-next 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); gpt-4o-mini-realtime-preview-2024-12-17 from Azure ($0.66/1M 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.
qwen.qwen3-coder-next supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 388 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen.qwen3-coder-next 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 $1.44.
