Ember is being positioned as a significantly cheaper option than frontier AI models such as Haiku and Luna, with input tokens priced at 10 cents per million.
AI Pricing · Ember
Ember undercuts frontier models on input-token price
Ember is positioned as a significantly cheaper option than Haiku and Luna, with input tokens priced at $0.10 per million. Cost is only one side of the equation; quality, output pricing and limits remain unverified.
$0.10
Ember input price per million tokens
2
Frontier rivals named for comparison: Haiku and Luna
0
Benchmarks or independent quality evaluations available so far
Input price per million tokens, drawn to scale
Each block represents $0.10 per million input tokens. Competitor prices have not been disclosed, so their columns are shown as unknown rather than estimated.
What 1 billion input tokens costs at Ember's rate
Simple arithmetic from the stated price: 1 billion tokens is 1,000 million, at $0.10 each. Each block is 100 million tokens, or $10.
10 blocks × $10 = $100 for 1 billion input tokens
Output-token pricing, which is often higher, is not included, so this is a floor for input costs only.
Key caveat
A lower price only matters if the quality holds up
Output-token pricing is not yet available.
Rate limits and context window size are unknown.
No benchmark results compare Ember with Haiku or Luna.
Buyers should test Ember on their own tasks before switching.
Upside
Large input volumes, such as document processing, support automation and search, could see meaningful savings.
If quality holds, aggressive pricing could push established providers to lower their rates.
Caution
"Significantly cheaper" addresses cost only, not capability.
Cheaper models often trade off reasoning, accuracy or reliability Continue reading The rest of this article is for AI News Blitz readers. Choose an option below to keep reading.
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