Context Window

Compare

Gpt 4o Mini Realtime Preview vs Qwen3 1p7b Fp8 Draft

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 Realtime Preview

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Alibaba

Model

Qwen3 1p7b Fp8 Draft

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.

Gpt 4o Mini Realtime Preview128K
Qwen3 1p7b Fp8 Draft262K

Qwen3 1p7b Fp8 Draft has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 1p7b Fp8 Draft has 104% more context capacity (262K vs 128K tokens). Qwen3 1p7b Fp8 Draft is 83% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 1p7b Fp8 Draft. Its 262K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Qwen3 1p7b Fp8 Draft. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3 1p7b Fp8 Draft. Its 262K 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.

SpecGpt 4o Mini Realtime PreviewQwen3 1p7b Fp8 Draft
Context window128,000 tokens (128K)262,144 tokens (262K)
Max output tokens4,096 tokens (4K)262,144 tokens (262K)
Speed tierFastFast
VisionNoNo
Function callingYesNo
Extended thinkingNoNo
Prompt cachingYesNo
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 Realtime Preview inGpt 4o Mini Realtime Preview outQwen3 1p7b Fp8 Draft inQwen3 1p7b Fp8 Draft out
Fireworks——$0.100/M$0.100/M
Openai$0.600/M$2.40/M——

Frequently asked questions

Qwen3 1p7b Fp8 Draft 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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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