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AionLabs: Aion-RP 1.0 (8B)

text->text

AionLabs: Aion-RP 1.0 (8B) is a general-purpose chat-tuned model. Available via aion-labs. 32,768-token context. Mid-tier pricing.

AionLabs: Aion-RP 1.0 (8B) is a efficient AI model from aion-labs. It costs $0.800 per million input tokens and $1.600 per million output tokens (blended $1.040/M), with a 32,768-token context window.

Modalities textPricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.800/M
per million input tokens
OUTPUT
$1.600/M
per million output tokens
BLENDED 70/30
$1.040/M
unchanged since 3 May
default reference rate · how it is calculated →
CONTEXT
32,768
tokens
What it is good at
  • Solid general chat performance
  • Reasonable instruction following
Typical use cases
  • General chat
  • Drafting and rewriting
  • Personal productivity

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

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text->text · 262,144 ctx
in $3.000/Mout $6.000/M
AionLabs: Aion-3.0-Mini
text->text · 131,072 ctx
in $0.700/Mout $1.400/M
AionLabs: Aion-3.0
text->text · 131,072 ctx
in $3.000/Mout $6.000/M
AionLabs: Aion-2.0
text->text · 131,072 ctx
in $0.800/Mout $1.600/M

Frequently asked questions

How much does AionLabs: Aion-RP 1.0 (8B) cost?

AionLabs: Aion-RP 1.0 (8B) costs $0.800 per million input tokens and $1.600 per million output tokens, for a blended reference rate of $1.040 per million tokens.

What is AionLabs: Aion-RP 1.0 (8B)'s context window?

AionLabs: Aion-RP 1.0 (8B) supports up to 32,768 tokens of context in a single request.

What is AionLabs: Aion-RP 1.0 (8B) best for?

AionLabs: Aion-RP 1.0 (8B) is well suited to Solid general chat performance, Reasonable instruction following and General chat.

Who makes AionLabs: Aion-RP 1.0 (8B)?

AionLabs: Aion-RP 1.0 (8B) is developed and served by aion-labs.

Terms used on this page

Full glossary →
TokenInput tokensOutput tokensPrice per million tokensContext windowPrompt cachingBatch APIBlended cost