Qwen3 Coder Next via LLM Gateway
Specifications
Context Window
262,144 tokens
Release Date
2024-01-01
Capabilities
Tool callingStructured outputTemperature
Availability
Open Weights
Model Overview
Qwen3 Coder Next is a qwen-family model by LLM Gateway with a 262k token context window and up to 262k output tokens. It is priced at $0.1100/1M input tokens and $0.6800/1M output tokens.
Key capabilities include: tool calling, structured output, temperature. It can call external tools and functions for agentic workflows.
Details
ProviderLLM Gateway
Model IDqwen3-coder-next
Familyqwen
Release Date2024-01-01
Last Updated2024-01-01
Knowledge CutoffN/A
Context Window262,144 tokens
Max Output262,144 tokens
Input Cost / 1M$0.1100
Output Cost / 1M$0.6800
Cache Read / 1M$0.0600
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Frequently Asked Questions
How much does Qwen3 Coder Next cost to use?
Qwen3 Coder Next is priced at $0.1100/1M input tokens and $0.6800/1M output tokens. Use the cost estimator on this page to calculate your expected spend based on your usage pattern.
What is a token and how does it relate to pricing?
A token is a chunk of text — roughly ¾ of a word in English. For example, "chatbot" is two tokens. LLM API pricing is based on the number of tokens you send (input) and receive (output). Input tokens include your prompts, uploaded documents, and images, while output tokens are the model's generated responses.
Why are input and output tokens priced differently?
LLM providers charge separately for input and output tokens. Output tokens are typically more expensive because generating each token requires more compute — the model must run a full forward pass for every token it produces, while input tokens are processed in parallel.
What is the context window of Qwen3 Coder Next?
Qwen3 Coder Next supports a context window of 262,144 tokens. This is the maximum number of tokens (input + output combined) the model can process in a single request. Larger context windows let you send longer documents or maintain longer conversation histories.
How accurate is this cost estimation?
This tool provides a ballpark estimate based on per-token pricing. Actual costs may differ due to prompt caching, batched API calls, volume discounts, reasoning token overhead, and provider-specific billing rules. Use it for budgeting and comparison, not as an invoice prediction.
How does Qwen3 Coder Next pricing compare to other models?
You can compare Qwen3 Coder Next with other models on our LLM API pricing calculator. Use the cost estimator to see side-by-side cost breakdowns across different providers and models to find the best fit for your budget and requirements.
What factors affect my total API cost?
Your total cost depends on several factors: the number of API calls you make, the length of your prompts (input tokens), the length of generated responses (output tokens), whether you use features like image or document uploads (which add input tokens), and any provider-specific charges for caching or batch processing.
How can my team use Qwen3 Coder Next via API?
You can connect your own LLM Gateway API key and give your entire team access to Qwen3 Coder Next through TypingMind Teams. It lets you build a unified AI workspace where team members can use Qwen3 Coder Next and other models — without needing their own API keys. You stay in control of usage limits, costs, and permissions, all from a single dashboard.
