PulseAugur
EN
LIVE 09:18:41

DeepSeek-V4 Flash 0731 achieves strong GPQA and HLE scores

By PulseAugur Editorial · [1 sources] ·

DeepSeek-V4 Flash 0731 has achieved a score of 90.8% on the GPQA benchmark and 38.6% on HLE. The model also demonstrated a speed of 233.8 tokens per second. Notably, it offers a high intelligence-to-cost ratio, providing 52.3 intelligence points per dollar, positioning it as an efficient option in the LLM landscape. AI

IMPACT Demonstrates competitive performance and efficiency in LLM benchmarks.

RANK_REASON Model benchmark results published. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

DeepSeek-V4 Flash 0731 achieves strong GPQA and HLE scores

How we ranked this

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Model benchmark results published. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    📊 DeepSeek V4 Flash 0731 (Reasoning, Max Effort) scores 90.8% GPQA and 38.6% on HLE, with 233.8 tokens/sec. At 52.3 intelligence points per dollar, it's a stand

    📊 DeepSeek V4 Flash 0731 (Reasoning, Max Effort) scores 90.8% GPQA and 38.6% on HLE, with 233.8 tokens/sec. At 52.3 intelligence points per dollar, it's a standout for efficiency. Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # O…

    LINKS olud.ai/leaderboard.html

RELATED ENTITIES

RELATED TOPICS