Context Window

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Aion-RP 1.0 (8B) vs Qwen3 Coder Next Fp8

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
Alibaba

Model

Qwen3 Coder Next Fp8

Context window

262K

262,144 tokens · ~197K 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
Qwen3 Coder Next Fp8262K

Qwen3 Coder Next Fp8 has about 8× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Coder Next Fp8 has 700% more context capacity (262K vs 32K tokens). Qwen3 Coder Next Fp8 is 37% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Coder Next Fp8. Its 262K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Qwen3 Coder Next Fp8. Input tokens are 37% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecAion-RP 1.0 (8B)Qwen3 Coder Next Fp8
Context window32,768 tokens (32K)262,144 tokens (262K)
Max output tokens29,491 tokens (29K)N/A
Speed tierFastBalanced
VisionNoNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
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) outQwen3 Coder Next Fp8 inQwen3 Coder Next Fp8 out
Openrouter$0.800/M$1.60/M——
Together Ai——$0.500/M$1.20/M

Frequently asked questions

Qwen3 Coder Next Fp8 has a larger context window: 262K tokens vs 32K. 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