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Schematron V2 Small open-weights with 128k context and low pricing

Schematron V2 Small, an open-weight inference model, has been released with a 128k context window. Its key differentiator is its aggressive pricing, with input tokens costing $0.05 and output tokens costing $0.23 per 1 million tokens. This pricing strategy aims to position it as a more cost-effective alternative to many closed-source models. AI

IMPACT Offers a cost-effective, large-context alternative in the open-source LLM space.

RANK_REASON Release of an open-weight model with notable context window and pricing. [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 →

Schematron V2 Small open-weights with 128k context and low pricing

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12 / 100
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Newsworthiness bucket
Tool
Release of an open-weight model with notable context window and pricing. [lever_c_demoted from research: ic=1 ai=1.0]
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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
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High
Clearly on-topic for AI-industry coverage.
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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 — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    Schematron V2 Small (Inference net) ships open-weight with a 128k context and aggressive pricing—$0.05 in, $0.23 out per 1M—putting it well under many closed ri

    Schematron V2 Small (Inference net) ships open-weight with a 128k context and aggressive pricing—$0.05 in, $0.23 out per 1M—putting it well under many closed rivals. That cost-per-token edge is the real story here, not just the specs. 🧠 https:// olud.ai/latest.html # AI # LLM # O…