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Gemini 2.5 Flash leads LLM coding tests, outperforming GPT-5.5

A recent test of five large language models on real-world coding tasks revealed Gemini 2.5 Flash as the best value, achieving perfect scores on all ten tasks for a total cost of $0.008. Claude Sonnet 4 followed as the most reliable option, with zero failures and two partial successes at a slightly higher cost. GPT-5.5, while strong in reasoning, struggled with concise code generation, failing four tasks due to excessive verbosity. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Gemini 2.5 Flash's cost-effectiveness and performance in coding tasks could significantly influence agent development and adoption.

RANK_REASON The cluster details a comparative benchmark of LLMs on practical coding tasks, evaluating their performance and cost-effectiveness.

Read on dev.to — LLM tag →

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 · Vilius ·

    I Ran 5 LLMs Through 10 Real Agent Coding Tasks. The Free One Won.

    <h2> What I Tested </h2> <p>I gave 5 models the same 10 coding tasks — not LeetCode, not trivia. Tasks an autonomous agent actually does: parse a JSON config, find large files with a shell one-liner, fix a buggy merge function, write a concurrent HTTP fetcher. The kind of things …

  2. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    OpenAI announced that optimizing response length would compensate for drastic price hikes in the new GPT-5.5 model, but data from OpenRouter paints a much different picture

    OpenAI zapowiadało, że optymalizacja długości odpowiedzi zrekompensuje drastyczne podwyżki cen w nowym modelu GPT-5.5, jednak dane z OpenRouter rysują znacznie mniej korzystny obraz dla użytkowników korporacyjnych, wskazując na wzrost kosztów od 49 do nawet 92 procent. # si # ai …