Context Window

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Gpt 4o Mini Audio Preview vs Qwen Plus 2025 04 28

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.

Openai

Model

Gpt 4o Mini Audio Preview

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Alibaba

Model

Qwen Plus 2025 04 28

Tool calling

Context window

129K

129,024 tokens · ~97K 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.

Gpt 4o Mini Audio Preview128K
Qwen Plus 2025 04 28129K

Qwen Plus 2025 04 28 has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen Plus 2025 04 28 has 0% more context capacity (129K vs 128K tokens). Gpt 4o Mini Audio Preview is 62% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen Plus 2025 04 28. Its 129K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Gpt 4o Mini Audio Preview. Input tokens are 62% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecGpt 4o Mini Audio PreviewQwen Plus 2025 04 28
Context window128,000 tokens (128K)129,024 tokens (129K)
Max output tokens16,384 tokens (16K)16,384 tokens (16K)
Speed tierFastBalanced
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoNo
Batch APIYesNo
Release dateN/AN/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.

ProviderGpt 4o Mini Audio Preview inGpt 4o Mini Audio Preview outQwen Plus 2025 04 28 inQwen Plus 2025 04 28 out
Alibaba Cloud——$0.400/M$1.20/M
Openai$0.150/M$0.600/M——

Frequently asked questions

Qwen Plus 2025 04 28 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.

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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