Qwen

I have tested Qwen (Alibaba LLM family, specifically Qwen2.5-72B-Instruct and Qwen2.5-Coder-32B) on the MytheAi backend via the Alibaba Cloud DashScope API since Q4 2024. The pay-as-you-go pricing at roughly $0.40 per million input tokens and $1.20 per million output tokens for Qwen2.5-72B is materially cheaper than GPT-4o ($2.50 and $10) but slightly more expensive than DeepSeek V3 ($0.14 and $0.28). Tested specifically as a multilingual reasoning model with strong Chinese and Asian-language performance.

Multilingual quality is the genuine differentiator. Tested on Vietnamese tool descriptions, Mandarin product taglines, and Japanese SaaS landing pages, Qwen2.5-72B output reads natively with idiomatic phrasing that GPT-4o and Claude 3.5 Sonnet sometimes flatten into translation-ese. Qwen2.5-Coder-32B handles TypeScript plus Python plus SQL at quality matching DeepSeek V3 on the same prompts, with markedly better Chinese-language code comments preserved in outputs. The 128K context window on Qwen2.5-72B handles full repository scans and long document summarization without the context-truncation issues seen on smaller open models.

Where Qwen falls short: the same data-residency compliance flag as DeepSeek applies (DashScope API hits China-based servers, gating use cases on EU and US PII handling). Latency from outside Asia adds 400 to 700 ms versus US-based Anthropic and OpenAI infrastructure. The training filter shows the same predictable refusals on Tiananmen, Taiwan sovereignty, and Xi-related queries as DeepSeek, making Qwen unreliable for geopolitical research workflows. Documentation and API examples skew toward Chinese-language even on the international DashScope endpoint, which slows onboarding for English-only dev teams.

For multilingual SaaS, Asian-market product translation, Chinese code comment generation, or any workflow where Mandarin plus Vietnamese plus Japanese output quality matters more than US data residency, Qwen2.5-72B is the right pick at $0.40 per million tokens. For B2B SaaS handling regulated EU or US PII, English-only product surfaces, or production-critical real-time pathways under 500 ms, Anthropic Claude or OpenAI GPT-4 where the compliance and latency story is materially stronger remains the safer pick.