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New models flood market, slashing AI inference costs

The Token Ledger reported a record influx of 356 new models, significantly altering the cost landscape for AI inference. A standout addition is inclusionAI's 1-trillion-parameter Ring-2.6-1T model, priced at $0.075 per million input tokens and $0.625 per million output tokens, which is substantially cheaper than comparable models. Other notable entries include IBM's Granite 4.1 8B as the most affordable 8B model, Google's Gemini 3.1 Flash Lite offering a large context window at a competitive price, and xAI's Grok 4.3 with reduced pricing. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Accelerates adoption of AI by drastically reducing inference costs across a wide range of models.

RANK_REASON The cluster reports on a large-scale influx of new AI models from various providers, significantly impacting the market's cost structure.

Read on dev.to — LLM tag →

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 Deutsch(DE) · 4663437Mehdi ·

    The Token Ledger Digest – 2026-05-16

    <h1> The Token Ledger Digest – 2026-05-16 </h1> <p>No meaningful changes today.</p> <h2> Cheapest models (per 1M tokens) </h2> <ul> <li> <p><strong>inclusionAI: Ling-2.6-flash</strong> </p> <ul> <li>What changed: — </li> <li>Prompt: $0.01 / 1M Completion: $0.03 / 1M </li> <li>Who…

  2. dev.to — LLM tag TIER_1 Dansk(DA) · 4663437Mehdi ·

    Token Ledger – 2026-05-15

    <h1> Token Ledger – 2026-05-15 </h1> <p><strong>356 models added, 0 removed, 0 price changes.</strong> The largest influx on record reframes the cost landscape. Leading the batch is a 1-trillion-parameter model at sub-dollar rates.</p> <h2> Most cost-impacting addition </h2> <p><…