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DeepSeek V4 Pro 0813 (Max) achieves high scores on GPQA and long context tasks

By PulseAugur Editorial · [1 sources] ·

DeepSeek V4 Pro 0813 (Max) has achieved a 92.8% score on the GPQA benchmark and demonstrated 80.3% performance in long context tasks. The model also achieved 41% on the HLE benchmark and processed information at 76.9 tokens per second. Notably, it offers 11.7 'intel points' per dollar, indicating strong cost-efficiency. AI

IMPACT This model's performance on benchmarks like GPQA and its long-context capabilities suggest advancements in AI reasoning and information processing.

RANK_REASON The item details benchmark performance for an AI model, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4 Pro 0813 (Max) achieves high scores on GPQA and long context tasks

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The item details benchmark performance for an AI model, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 DeepSeek V4 Pro 0813 (Max): 92.8% GPQA, 41% HLE, 80.3% long context, 76.9 tokens/sec. 11.7 intel points per dollar—our independent bench. https:// olud.ai/lea

    📊 DeepSeek V4 Pro 0813 (Max): 92.8% GPQA, 41% HLE, 80.3% long context, 76.9 tokens/sec. 11.7 intel points per dollar—our independent bench. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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