Deepseek V4 pro isn’t built to chat.
It’s built to finish the job. And one benchmark explains why people building AI agents should pay attention. The Agent Upgrade: → V4 Pro0813 scored 87.9 on Terminal Bench 2.1, testing whether AI can complete real terminal tasks → It
Everos ranked 8th on the official GitHub list of Deepseek Harness dsh-plugin!
Is model scaling the only source of agent improvement?
We henryqin1997 YaxinLu1997 VITAGroupUT VictorKaiWang1 are glad to share our work: We reach 95.3% Raw Accuracy, or a $15 Frontier Run (88.8% with DeepSeek-v4-Flash, matching GPT-5.6 Sol Max), on Terminal-Bench 2.1 via
DeepSeek-V4-Pro is here — and it's redefining cost-performance.
✅ 1.6T total parameters / 49B activated ✅ 1/10th the price of Claude Opus 5 ✅ FIM code completion mastery ✅ Full Agent toolchain support We tested it head-to-head against Claude Opus 5.
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