Context Window

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Qwen3 Next 80B A3B Thinking vs Sonar Reasoning Pro

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

Qwen3 Next 80B A3B Thinking

Tool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Perplexity

Model

Sonar Reasoning Pro

Image input

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.

Qwen3 Next 80B A3B Thinking262K
Sonar Reasoning Pro128K

Qwen3 Next 80B A3B Thinking has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Next 80B A3B Thinking has 104% more context capacity (262K vs 128K tokens). Qwen3 Next 80B A3B Thinking is 55% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Next 80B A3B Thinking. Its 262K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Qwen3 Next 80B A3B Thinking. Input tokens are 55% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecQwen3 Next 80B A3B ThinkingSonar Reasoning Pro
Context window262,144 tokens (262K)128,000 tokens (128K)
Max output tokens65,536 tokens (65K)N/A
Speed tierFastDeep
VisionNoYes
Function callingYesNo
Extended thinkingYesYes
Prompt cachingNoNo
Batch APINoNo
Release dateSep 2025Mar 2025

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.

ProviderQwen3 Next 80B A3B Thinking inQwen3 Next 80B A3B Thinking outSonar Reasoning Pro inSonar Reasoning Pro out
Alibaba Cloud$0.150/M$1.20/M——
Deepinfra$0.140/M$1.40/M——
Fireworks$0.900/M$0.900/M——
Novita$0.150/M$1.50/M——
Perplexity——$2.00/M$8.00/M
Together Ai$0.150/M$1.50/M——

Frequently asked questions

Qwen3 Next 80B A3B Thinking has a larger context window: 262K 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.

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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