Context Window

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Gpt Realtime 1 5 vs Qwen2 5 72b

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 Realtime 1 5

Tool calling

Context window

32K

32,000 tokens · ~24K words

Model page
Alibaba

Model

Qwen2 5 72b

Tool calling

Context window

33K

32,768 tokens · ~25K 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 Realtime 1 532K
Qwen2 5 72b33K

Qwen2 5 72b has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen2 5 72b has 2% more context capacity (32K vs 32K tokens). Qwen2 5 72b is 97% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen2 5 72b. Its 32K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Qwen2 5 72b. Input tokens are 97% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen2 5 72b. Its 32K 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 Realtime 1 5Qwen2 5 72b
Context window32,000 tokens (32K)32,768 tokens (32K)
Max output tokens4,096 tokens (4K)32,768 tokens (32K)
Speed tierBalancedDeep
VisionNoNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APINoNo
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 Realtime 1 5 inGpt Realtime 1 5 outQwen2 5 72b inQwen2 5 72b out
Deepinfra——$0.120/M$0.390/M
Hyperbolic——$0.120/M$0.300/M
Nebius——$0.130/M$0.400/M
Openai$4.00/M$16.00/M——

Frequently asked questions

Qwen2 5 72b has a larger context window: 32K 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.

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