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[ARTICLE · art-35341] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Cohere's 30B Coding Agent Beats Models 4x Its Size on One H100 — and It Shouldn't

Cohere's 30-billion-parameter coding agent, with only 3 billion active parameters, achieved a score of 0.6 on a benchmark, outperforming models four times its size while running on a single H100 GPU.

read1 min views30 publishedJun 21, 2026

A 30-billion-parameter model with only 3 billion active parameters has no business landing 0.6 Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article GPT-Live-1 Tool Delegation: Keep Voice Agents Honest During Slow Work Embedded AI Evaluation: The Access Contract Enterprises Need Before They Trust Their Agents AI Agent Memory Promotion Gate: Stop Untrusted Summaries From Becoming Instructions
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