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Free LLMs show unreliable tool use, decay quickly

By PulseAugur Editorial · [1 sources] ·

A weekly test of free LLMs for tool-use reliability revealed significant decay in model performance over time. Two models, Qwen3-next-80b and Qwen3-coder, consistently failed to produce valid tool calls, while another, Trinity, degraded after weeks of strong performance. The author emphasizes that chat benchmarks do not reflect tool-use reliability and advocates for frequent re-testing to prevent silent failures in production agents. AI

IMPACT Highlights the unreliability of free LLMs for critical agent functions, suggesting frequent re-testing is necessary for production stability.

RANK_REASON The article is an opinion piece and analysis of LLM performance based on personal testing, not a release or benchmark.

Read on dev.to — LLM tag →

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

Free LLMs show unreliable tool use, decay quickly

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Commentary
The article is an opinion piece and analysis of LLM performance based on personal testing, not a release or benchmark.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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100 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Mirza Iqbal ·

    I test 8 free LLMs that involve tool usage every week.

    <p>Two of them never passed once</p> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>model</th> <th>tool-use</th> <th>streak</th> </tr> </thead> <tbody> <tr> <td>nemotron-3-super-120b (free)</td> <td>PASS</td> <td>26 clean</td> </tr> <tr> <td>owl-alpha</td> <td>PASS…

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