PulseAugur
EN
LIVE 18:41:33

K2-V2 and DeepSeek V3.2 benchmark results revealed · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Independent benchmarks reveal performance metrics for two large language models. K2-V2 (Medium) achieved scores of 59.8% on GPQA and 76.1% on MMLU-Pro, with a 28% score for long context reasoning. DeepSeek V3.2 (Reasoning) demonstrated higher performance, scoring 84% on GPQA and 86.2% on MMLU-Pro, and notably achieving 73.3% on long context reasoning. AI

IMPACT Provides comparative performance data for two LLMs on key benchmarks, aiding in model selection and development.

RANK_REASON Independent benchmark results for two LLMs are reported.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

K2-V2 and DeepSeek V3.2 benchmark results revealed · 2 sources tracked

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
Independent benchmark results for two LLMs are reported.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, other
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
20 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

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

    📊 K2-V2 (Medium) — the actual numbers GPQA: 59.8% MMLU-Pro: 76.1% Humanity's Last Exam: 4.4% Long Context Reasoning: 28% Measured independently, not self-report

    📊 K2-V2 (Medium) — the actual numbers GPQA: 59.8% MMLU-Pro: 76.1% Humanity's Last Exam: 4.4% Long Context Reasoning: 28% Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html
  2. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    📊 DeepSeek V3.2 (Reasoning) — the actual numbers GPQA: 84% MMLU-Pro: 86.2% Humanity's Last Exam: 24.6% Long Context Reasoning: 73.3% 💰 68.3 intelligence points

    📊 DeepSeek V3.2 (Reasoning) — the actual numbers GPQA: 84% MMLU-Pro: 86.2% Humanity's Last Exam: 24.6% Long Context Reasoning: 73.3% 💰 68.3 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource…

    LINKS olud.ai/leaderboard.html

RELATED ENTITIES

RELATED TOPICS