DeepSeek-V4-Flash-0731vsLLaMA 3.2
DeepSeek-V4-Flash-0731 | LLaMA 3.2 | |
|---|---|---|
| Specifications | ||
Parameters | — | 1B/3B |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 38% | — |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 82.7% | — |
Personal tool use Toolathlon-VerifiedTests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better. | 70.3% | — |
Cybersecurity CyberGymTests the AI on cybersecurity challenges — finding and exploiting software weaknesses inside a safe sandbox. Higher is better. | 76.7% | — |
Business workflows AutomationBenchTests whether the AI can run real multi-step business workflows — the kind of end-to-end office processes companies want to automate — from start to finish. Higher is better. | 25.1% | — |
| Overview | ||
| Company | DeepSeek | Meta |
| Release date | Jul 31 2026 | Sep 25 2024 |
| Access | Proprietary | Open Weight |
Which is better: DeepSeek-V4-Flash-0731 or LLaMA 3.2?
DeepSeek-V4-Flash-0731 and LLaMA 3.2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.2 shipped 674 days before DeepSeek-V4-Flash-0731, so benchmark comparisons should account for the intervening progress.
DeepSeek-V4-Flash-0731 is proprietary, while LLaMA 3.2 is open weight.
Direct benchmark comparisons are unavailable — DeepSeek-V4-Flash-0731 and LLaMA 3.2 don't publish scores on any of the same benchmarks.
Frequently asked questions
DeepSeek-V4-Flash-0731 was released by DeepSeek on Jul 31 2026.
LLaMA 3.2 was released by Meta on Sep 25 2024.
DeepSeek-V4-Flash-0731 is a proprietary model released by DeepSeek. LLaMA 3.2 is an open weight model released by Meta.
Other comparisons
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