Open-source LLMs for coding: New benchmarks and licenses emerge

As of June 2026, the landscape of open-source LLMs for coding has significantly shifted, with new models and benchmarks emerging rapidly. Developers must now prioritize licenses like Apache 2.0 and MIT for commercial projects, as many popular models, including Llama, have restrictive terms. Newer, more reliable benchmarks such as SWE-bench Pro and Terminal-Bench 2.1 are replacing saturated metrics like HumanEval, highlighting models like MiniMax M3, which claims top scores and innovative attention mechanisms. AI

IMPACT Developers must navigate complex licensing and new benchmarks to effectively deploy open-source LLMs for commercial coding tasks.

RANK_REASON The cluster discusses new benchmarks and licensing for open-source LLMs, which falls under research and product considerations.

Read on dev.to — LLM tag →

• Claude Opus 4.7
• Claude Opus 4.8
• Codestral
• DeepSeek
• Gemini 3.1 Pro
• GPT-5.5
• Llama
• MiniMax
• OpenAI
• Qwen
• SWE-bench Pro
• Apache 2.0
• Gemma
• GPL
• HumanEval
• MiniMax M3
• MIT
• Phi-4
• Terminal-Bench 2.1

• model release
• product

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