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DeepSeek V3.1 cuts output costs by 42%, undercutting closed models

By PulseAugur Editorial · [1 sources] ·

DeepSeek's V3.1 model has significantly reduced its output costs by 42% over the past month, now priced at $0.95 per 1 million tokens. This makes the open-weight model more competitive with many proprietary alternatives. The company has provided a detailed pricing history for users to track these changes. AI

IMPACT This cost reduction makes advanced open-weight models more accessible, potentially accelerating adoption and innovation in the AI ecosystem.

RANK_REASON Frontier lab model release with significant pricing change. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

DeepSeek V3.1 cuts output costs by 42%, undercutting closed models

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier lab model release with significant pricing change. [lever_c_demoted from frontier_release: 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 V3.1 just dropped its output cost by 42% in a month. At $0.95 per 1M tokens, it’s now cheaper than many closed alternatives while staying open-weight.

    DeepSeek V3.1 just dropped its output cost by 42% in a month. At $0.95 per 1M tokens, it’s now cheaper than many closed alternatives while staying open-weight. See the full pricing history. https:// olud.ai/model/deepseek-v3-1.ht ml # AI # LLM # Pricing

    LINKS olud.ai/…/deepseek-v3-1.html

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