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Open vs closed AI models: the capability gap is now 3% for most "everyday tasks". Open models are basically tied with GPT and Claude on coding, following instructions, and general knowledge. The real gap? Reasoning, long context, and agentic tasks.

Capability is a moving target, a jagged frontier, and not a settled score. So the question isn't "are open models good enough" anymore. It's: good enough for what? Know your workload and pick accordingly.