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OpenAI's GPT-6 Astra vs GPT-5.6 Sol: Cost, Latency, and Task Success Compared

By PulseAugur Editorial · [1 sources] ·

A new analysis compares OpenAI's GPT-6 Astra and GPT-5.6 Sol models, detailing their pricing and performance differences. GPT-6 Astra is approximately twice as expensive for input tokens and 1.67 times for output tokens compared to GPT-5.6 Sol. Despite the cost disparity, both models exhibit similar first-token latency in streaming applications. The decision between the two should hinge on the cost of task failure, with GPT-6 Astra being more suitable for critical, single-attempt tasks like complex reasoning, while GPT-5.6 Sol is better for high-frequency, retry-friendly tasks. AI

IMPACT Helps developers optimize costs and performance by choosing the right model tier for specific task requirements.

RANK_REASON Analysis of pricing and performance differences between two existing model versions from a major AI lab.

Read on dev.to — LLM tag →

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

OpenAI's GPT-6 Astra vs GPT-5.6 Sol: Cost, Latency, and Task Success Compared

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31 / 100
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Analysis of pricing and performance differences between two existing model versions from a major AI lab.
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · hopbase ·

    GPT-6 Astra vs GPT-5.6: What the 2x Price Actually Buys You

    <p><strong>The short answer: GPT-6 Astra costs 2.00x GPT-5.6 Sol on input and about 1.67x on output — $10 / $1 / $50 versus $5 / $0.50 / $30 per million tokens. But in our own measurements on the production path on 2026-09-05, streaming first-token latency for both lands in the s…

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