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AI Models Tested: Grok 4.3 Leads, Free Tiers Show Wild Variance

A recent test of ten AI models on coding tasks revealed significant performance disparities, particularly within free tiers. Grok 4.3 emerged as the top performer with an 81.6% success rate, while Perceptron Mk1 offered exceptional value at nearly 80% for a minimal cost. Among free models, Owl Alpha stood out with a 76.7% score and no hard failures, though latency was a concern. Other models like GPT Chat Latest and Mistral Medium 3.5 showed mixed results, with the former being the most expensive and the latter experiencing timeouts. AI

IMPACT Highlights the significant cost and performance differences between AI models, especially free tiers, impacting developer choices and tool selection.

RANK_REASON The article presents results from a benchmark test of multiple AI models on coding tasks, comparing their performance and cost. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

COVERAGE [1]

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

    10 Models Tested: From 81.6% to 10%. The Free Tier is a Full-On Gamble.

    <p><em>By Vilius Vystartas | May 2026</em></p> <p>I tested another 10 models across the same 10 agent coding tasks. Four of them were free-tier models — and the range was absurd: Owl Alpha scored 76.7% with zero hard fails, Laguna M.1 scored 10% and produced garbage on 9 out of 1…