Qwen: Qwen3 235B A22B Instruct 2507 API Pricing
by qwen · 262K context window ·
Explore Qwen3 235B A22B Instruct 2507 API pricing details. This page provides transparent cost information for machine learning engineers evaluating large language models. Qwen offers a context window of 262,144 tokens with input priced at $0.07100 per 1 million tokens and output at $0.10000 per 1 million tokens, totaling $0.1710 per million tokens. For example, processing 100 million tokens monthly would cost approximately $17.10. Compare Qwen's performance and cost-effectiveness against other LLM providers to make informed decisions for your AI projects. Get data-driven insights into qwen API pricing and optimize your budget.
Monthly Cost Examples
Assuming 50% input / 50% output token split
| Usage | Monthly cost |
|---|---|
| 100K tokens/month | <$0.01 |
| 1M tokens/month | $0.09 |
| 10M tokens/month | $0.85 |
| 100M tokens/month | $8.55 |
Compare with other models
Qwen: Qwen3 235B A22B Instruct 2507 vs OpenAI: GPT-4o →Qwen: Qwen3 235B A22B Instruct 2507 vs OpenAI: GPT-4o-mini →Qwen: Qwen3 235B A22B Instruct 2507 vs OpenAI: o1 →Automate your model selection
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Only use Qwen: Qwen3 235B A22B Instruct 2507 when your quality requirements demand it.