Context Window

Compare

Qwen-Plus vs Qwen Qwen3 Next 80b A3b

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.

Alibaba

Model

Qwen-Plus

Tool calling

Context window

129K

129,024 tokens · ~97K words

Model page
Alibaba

Model

Qwen Qwen3 Next 80b A3b

Tool calling

Context window

128K

128,000 tokens · ~96K 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.

Qwen-Plus129K
Qwen Qwen3 Next 80b A3b128K

Qwen-Plus has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen-Plus has 0% more context capacity (129K vs 128K tokens). Qwen Qwen3 Next 80b A3b is 62% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen-Plus. Its 129K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Qwen Qwen3 Next 80b A3b. Input tokens are 62% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen-Plus. Its 16K 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.

SpecQwen-PlusQwen Qwen3 Next 80b A3b
Context window129,024 tokens (129K)128,000 tokens (128K)
Max output tokens16,384 tokens (16K)8,192 tokens (8K)
Speed tierBalancedFast
VisionNoNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
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.

ProviderQwen-Plus inQwen-Plus outQwen Qwen3 Next 80b A3b inQwen Qwen3 Next 80b A3b out
Alibaba Cloud$0.400/M$1.20/M——
Aws Bedrock——$0.150/M$1.20/M

Frequently asked questions

Qwen-Plus has a larger context window: 129K tokens vs 128K. 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.
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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.

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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