Context Window

Compare

Aion-RP 1.0 (8B) vs Ft:gpt 3 5 Turbo 0125

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Meta

Model

Aion-RP 1.0 (8B)

Context window

33K

32,768 tokens · ~25K words

Model page
Openai

Model

Ft:gpt 3 5 Turbo 0125

Context window

16K

16,385 tokens · ~12K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Aion-RP 1.0 (8B)33K
Ft:gpt 3 5 Turbo 012516K

Aion-RP 1.0 (8B) has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Aion-RP 1.0 (8B) has 99% more context capacity (32K vs 16K tokens). Aion-RP 1.0 (8B) is 73% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Aion-RP 1.0 (8B). Its 32K context fits entire documents without chunking (vs 16K).

  • RAG / high-volume retrieval

    Use Aion-RP 1.0 (8B). Input tokens are 73% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Aion-RP 1.0 (8B). Its 29K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecAion-RP 1.0 (8B)Ft:gpt 3 5 Turbo 0125
Context window32,768 tokens (32K)16,385 tokens (16K)
Max output tokens29,491 tokens (29K)4,096 tokens (4K)
Speed tierFastBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoYes
Release dateFeb 2025N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderAion-RP 1.0 (8B) inAion-RP 1.0 (8B) outFt:gpt 3 5 Turbo 0125 inFt:gpt 3 5 Turbo 0125 out
Openai——$3.00/M$6.00/M
Openrouter$0.800/M$1.60/M——

Frequently asked questions

Aion-RP 1.0 (8B) has a larger context window: 32K tokens vs 16K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model