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OpenAI's GPT-6 Astra criticized for high token consumption

Users are reporting that OpenAI's GPT-6 Astra model consumes tokens at a significantly higher rate than its predecessor, GPT-5.6 Sol. This increased token usage is making it less practical for everyday tasks, even though the model demonstrates impressive power and intelligence. The high cost-to-quality ratio is leading users to question its accessibility and intended use cases for regular subscribers. AI

IMPACT High token consumption may limit practical adoption of advanced AI models for everyday tasks.

RANK_REASON User discussion and anecdotal evidence about a model's performance and cost.

Read on r/OpenAI →

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

OpenAI's GPT-6 Astra criticized for high token consumption

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User discussion and anecdotal evidence about a model's performance and cost.
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. r/OpenAI TIER_2 English(EN) · /u/gillu-21 ·

    Is it just me, or is GPT-6 Astra absolutely DEVOURING tokens ?

    <!-- SC_OFF --><div class="md"><p>I’ve been testing Astra recently, and one thing immediately stands out:</p> <p>The token/usage burn feels insanely high compared with GPT-5.6 Sol.</p> <p>With Sol, I could work through fairly long and complex tasks without constantly worrying abo…