Grok 4.7 tokens cost 5x less for input and 8.33x less for output than GPT-6 Astra. Grok 4.7: $2 input / $6 output. GPT-6 Astra: $10 input / $50 output. Yet Astra still comes out cheaper per task on Artificial Analysis: Grok 4.7: $3.74 GPT-6 Astra: $3.26 That’s how much token efficiency matters.

Sep 22, 2026 · 10:01 AM UTC

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Replying to @DanDr1s
it's AGI lmaoo
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Replying to @DanDr1s
I wish to observe same cost efficiency from Astra in my Codex sub :)
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Replying to @DanDr1s
should this even be something to be compared? Grok is no where close to Astra
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Replying to @DanDr1s
Didn't you say weeks ago that benchmarks information aren't trustworthy??
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Replying to @DanDr1s
you shouldnt even use Astra Max lmao. Xhigh shits on Grok 4.7 so hard at even cheaper
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Replying to @DanDr1s
You are comparing two totally wrong models..grok is not compatible to Astra at all. You can compare with luna or sol
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Replying to @DanDr1s
@elonmusk fix please! grok 4.5 was not the smartest but it was incredibly fast and efficient, bring priorities back on track to that
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Replying to @DanDr1s
Yes assume 4.8 or 4.9 will fix this. @elonmusk
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Replying to @DanDr1s
no mercy by oai
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Replying to @DanDr1s
No compare Grok 4.7 to newly release MiMo 2.6 pro 😅
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Replying to @DanDr1s
Cheaper tokens are not the same as a cheaper task.Astra can cost more per million tokens and still win on the bill if it thinks less to get there. Token price is the menu. Token efficiency is the check.
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Replying to @DanDr1s
Quality matters
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Replying to @DanDr1s
I wonder what tasks does it include?.. how much reasoning is needed..
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Replying to @DanDr1s
Grok 4.6 is more than 2x cheaper and almost as efficient. Why use this model?
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Replying to @DanDr1s
Gemini moment
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Replying to @DanDr1s
The output multiplier is the one that shows up on the invoice.
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Replying to @DanDr1s
Astra at $3.26 per task versus Grok 4.7 at $3.74 despite 5x lower input and 8x lower output rates means Grok 4.7 consumes roughly 4-5x more tokens per task, the rate advantage is fully offset by volume
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Replying to @DanDr1s
Token efficiency is such a massive part of the equation for real-world deployment. We actually went deeper on the Grok 4.7 release here:
AGTP
@AGTPinsights
Sep 22
Grok 4.7 just landed, and it's a notable step up from Grok 4.6 at the same price and speed. The model reportedly works longer on difficult tasks, checks its own work more carefully, and ships with xAI's strongest safeguards to date. Independent benchmark firm Artificial Analysis scored Grok 4.7 at 46 on its intelligence index, up two points from Grok 4.6, putting xAI at the top among AI labs. Grok 4.7 also overtook GPT 5.6 solo on the coding agent index, landing third for agentic coding behind Anthropic and OpenAI, while running faster and cheaper than both. The model is built to pair with xAI's coding harness and is also available in Cursor, which xAI recently acquired. Nvidia says its accelerated computing supported the training. Early reactions online are split, with some praising the results and others calling the outputs weak for the cost.
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