Qwen3 Coder Next Pricing & Token Economics
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
Normalized Token Pricing Matrix
Real-time input, completion, and cache rates normalized to $/1M tokens.
Cost for prompts, instructions, document retrieval, and system context sent into the model.
Cost for generated text, code, tool calls, and structured JSON responses returned by the model.
Massive 42% savings on repeated context, documents, and system instructions.
Standard industry benchmark assuming 75% prompt reads and 25% completion generation.
Qwen3 Coder Next Monthly Bill Estimator
Estimated monthly costs across four standardized enterprise and developer workloads.
| Workload Scenario | Monthly Token Volume | Standard Bill | With Prompt Caching |
|---|---|---|---|
| Customer Support Chatbot 10M prompt tokens + 2.5M output tokens per month | 12.5M tokens (10M in / 2.5M out) | $3.20/mo | $2.85/mo -11% |
| Document Analysis & RAG 30M prompt tokens (PDFs/context) + 3M output summaries | 33.0M tokens (30M in / 3M out) | $6.00/mo | $4.95/mo -17% |
| Coding Agent / IDE Swarm 60M prompt tokens (repo context) + 15M code completions | 75.0M tokens (60M in / 15M out) | $19.20/mo | $17.10/mo -11% |
| Enterprise Agentic Workflow 120M prompt tokens (reasoning loops) + 30M output actions | 150.0M tokens (120M in / 30M out) | $38.40/mo | $34.20/mo -11% |
Need custom token inputs or prompt volumes?
Use our interactive multi-model token calculator to test exact prompt and completion sliders.
Architecture & Capabilities
Technical parameters, supported modalities, and optimal developer use cases.
🎯 Recommended Use Cases
Local and cloud code assistants, unit test automation, syntax refactoring
Supported Modalities
📐 Context & Output Limits
- Maximum Context Window: 262,144 tokens (262K)
- Maximum Output Length: 235,929 tokens
- Speed / Latency Tier: Ultra Fast
- Official Provider: Qwen / Alibaba
Frequently Asked Questions
Everything you need to know about Qwen3 Coder Next API pricing and token calculations.
How much does Qwen3 Coder Next cost per 1M tokens?
Qwen3 Coder Next charges $0.12 per 1M input tokens and $0.80 per 1M output tokens. For standard balanced workloads (3:1 input:output ratio), the effective blended rate is $0.290/1M tokens.
Does Qwen3 Coder Next support prompt caching?
Yes. Cached prompt reads are billed at $0.0700 per 1M tokens, saving you up to 42% on repeated context, RAG documents, and system instructions.
What is Qwen3 Coder Next's maximum context window?
Qwen3 Coder Next supports up to 262,144 tokens (262K) in its context window, allowing you to ingest large files and multi-turn chat history with up to 235,929 tokens generated per response.
How does Qwen3 Coder Next compare to other models?
With a CostRatio rating of A+, Qwen3 Coder Next provides competitive token economics for coding & specialized tasks. Review the peer comparison table above to compare input and completion rates directly against alternative models.
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