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GLM 5.3 Flash price drops 60% for batch inference

By PulseAugur Editorial · [1 sources] ·

GLM 5.3 Flash, an open-weights model, has seen a significant price reduction for batch inference over the past month. The cost per 1 million output tokens has fallen from $0.50 to $0.20. This price decrease is expected to alter the cost-effectiveness calculations for batch processing. AI

IMPACT This price reduction may make batch inference with GLM 5.3 Flash more attractive for certain applications.

RANK_REASON The item details a price change and cost-effectiveness shift for an open-weights model, which falls under research/infra. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — sigmoid.social →

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

GLM 5.3 Flash price drops 60% for batch inference

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8 / 100
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Tool
The item details a price change and cost-effectiveness shift for an open-weights model, which falls under research/infra. [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.
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model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    📉 GLM 5.3 Flash (batch) dropped 60% in 30 days: $0.5 to $0.2 per 1M output tokens, with open weights. For batch inference, that pricing shifts the cost math. ht

    📉 GLM 5.3 Flash (batch) dropped 60% in 30 days: $0.5 to $0.2 per 1M output tokens, with open weights. For batch inference, that pricing shifts the cost math. https:// olud.ai/model/glm-5-3-flash-ba tch.html # AI # LLM # Pricing

    LINKS olud.ai/…/glm-5-3-flash-batch.html

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