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Jev Router tops coding benchmark by heavily favoring GPT-6.1 Sol

By PulseAugur Editorial · [1 sources] ·

A new benchmark for agentic coding, Forge 2.0, has revealed that the Jev Router, developed by TypeSafe, achieved the top score. However, the router predominantly directed nearly all of its calls, 117 out of 118, to GPT-6.1 Sol, with only one call going to GPT-6 Astra. This raises questions about whether the Jev Router itself is the primary driver of performance or if it effectively leverages GPT-6.1 Sol's capabilities, especially since GPT-6.1 Sol's direct builds scored lower than the Jev Router's median score. AI

IMPACT Highlights the potential for routing models to optimize LLM usage and cost, while also questioning the true performance attribution.

RANK_REASON The item details a new benchmark and its results for agentic coding models. [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 →

Jev Router tops coding benchmark by heavily favoring GPT-6.1 Sol

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33 / 100
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The item details a new benchmark and its results for agentic coding models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Jev Router Benchmark: 117 of 118 Calls Went to GPT-6.1 Sol

    <p>TypeSafe's Jev Router (<code>typesafe/jev-router</code> on OpenRouter) went to the top of our Forge 2.0 agentic coding benchmark this morning. Its two builds scored 0.6398 and 0.8523, a median of 0.746, ahead of Claude Opus 5.5 at 0.6745. OpenRouter's own generation records sh…

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