PulseAugur
EN
LIVE 15:00:24
Русский(RU) Прогнал 6 апрельских LLM через battle test. Победил не самый новый и не самый дорогой DeepSeek V4 Pro вышел 24 апреля. Огромная модель, топ AIME и SWE-bench, пе

Qwen 3.6 Plus outperforms DeepSeek V4 Pro in price and quality benchmarks

By PulseAugur Editorial · [2 sources] ·

A recent battle test of six April-released Large Language Models (LLMs) revealed that the Qwen 3.6 Plus, released 22 days prior, outperformed the newer DeepSeek V4 Pro. Despite DeepSeek V4 Pro's advanced reasoning architecture and top scores on AIME and SWE-bench, it achieved 89 points in the test, while Qwen 3.6 Plus scored 92. The test also highlighted a significant cost disparity, with DeepSeek's Flash variant being 13 times cheaper than its Pro version, though also scoring lower. AI

IMPACT Qwen 3.6 Plus's superior performance and cost-effectiveness over newer models like DeepSeek V4 Pro suggest a shift in optimal production LLM choices.

RANK_REASON The cluster reports on comparative benchmark results for multiple LLMs, which falls under research.

Read on Mastodon — fosstodon.org →

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

Qwen 3.6 Plus outperforms DeepSeek V4 Pro in price and quality benchmarks

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
The cluster reports on comparative benchmark results for multiple LLMs, which falls under research.
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
163 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 — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    Ran 6 April LLMs through a battle test. The winner was not the newest or most expensive, DeepSeek V4 Pro, released on April 24th. Huge model, top AIME and SWE-bench, pe

    Прогнал 6 апрельских LLM через battle test. Победил не самый новый и не самый дорогой DeepSeek V4 Pro вышел 24 апреля. Огромная модель, топ AIME и SWE-bench, передовая reasoning-архитектура. Я ждал Tier S — 95+ из 100 в нашем battle test на русском контенте. Получил 89. Запустил …

    LINKS habr.com/…/1029044
  2. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    Ran 6 April LLMs through a battle test. The winner was not the newest or the most expensive, DeepSeek V4 Pro, released on April 24th. Huge... #LLM #DeepSeek #Qwen #Kimi #Benc

    Прогнал 6 апрельских LLM через battle test. Победил не самый новый и не самый дорогой DeepSeek V4 Pro вышел 24 апреля. Огром... #LLM #DeepSeek #Qwen #Kimi #Benchmarks #AI #OpenRouter #Russian #NLP Origin | Interest | Match

    LINKS habr.com/…/1029044 awakari.com/sub-details.html awakari.com/pub-msg.html

RELATED ENTITIES

RELATED TOPICS