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LLaMA 4 Maverick, Mistral Large, Phi-4 benchmarked for code generation

By PulseAugur Editorial · [1 sources] ·

A recent evaluation compared three leading open-weight models for code generation: Mistral Large, LLaMA 4 Maverick, and Phi-4. The tests focused on algorithm implementation, API integration, database queries, and security-sensitive code, using a consistent methodology across models. Mistral Large, accessible only via API, demonstrated strong performance in SQL generation and API integration but suffered from higher latency. LLaMA 4 Maverick, part of Meta's 2026 release, excelled in handling complex refactoring and security-sensitive tasks, benefiting from its large context window. AI

IMPACT Provides benchmarks for developers choosing models for code generation tasks, highlighting trade-offs in latency and capability.

RANK_REASON Comparison of existing models on specific tasks. [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 →

LLaMA 4 Maverick, Mistral Large, Phi-4 benchmarked for code generation

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0 / 100
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Tool
Comparison of existing models on specific tasks. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
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117 days old
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Full methodology in our editorial standards.

COVERAGE [1]

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

    Mistral Large vs LLaMA 4 vs Phi-4: Best Open-Source LLM for Code Generation in 2026

    <p>Running AI models locally for code generation used to mean accepting mediocre output. That changed. In 2026, you have real choices — but picking the wrong model for your use case costs you latency, accuracy, or both. This article breaks down three leading open-weight models on…

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