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Qwen3.8 Max achieves 100% accuracy on budget test, but high fees raise cost concerns

A budget-friendly test of the Qwen3.8 Max model on the OpenCode Go platform revealed its high cost, primarily due to a significant cache-write fee. Despite its premium pricing, the model demonstrated impressive speed and accuracy across ten diverse tasks, including code generation, bug fixing, and complex problem-solving, completing them all correctly in under two minutes. The test indicated that Qwen3.8 Max prioritizes raw speed over deliberative reasoning, answering prompts directly without generating intermediate reasoning tokens. AI

IMPACT This test highlights the cost-performance trade-offs of using advanced LLMs for specific tasks, suggesting Qwen3.8 Max offers speed at a premium price due to its unique fee structure.

RANK_REASON The item discusses the performance and cost of a specific LLM on a particular platform, which falls under tooling rather than a frontier release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.8 Max achieves 100% accuracy on budget test, but high fees raise cost concerns

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ahmed Nafies ·

    Testing Qwen3.8 Max on a Budget with OpenCode Go: 10 Tasks, ~10¢, Zero Failures

    <p>Qwen3.8 Max is the <strong>most expensive model on OpenCode Go</strong> — <strong>$2.00/M input and $6.00/M output</strong>, with the added twist of a <strong>$2.50/M cache-write</strong> fee that most models don't charge. It ships with a fixed <strong>$15/month</strong> usage…