Context Window

Compare

Gpt 4o Realtime Preview 2025 06 03 vs Qwen3.5-35B-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.

Openai

Model

Gpt 4o Realtime Preview 2025 06 03

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Alibaba

Model

Qwen3.5-35B-A3B

Image inputTool calling

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 Realtime Preview 2025 06 03128K
Qwen3.5-35B-A3B262K

Qwen3.5-35B-A3B has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3.5-35B-A3B has 104% more context capacity (262K vs 128K tokens). Qwen3.5-35B-A3B is 95% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3.5-35B-A3B. Its 262K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Qwen3.5-35B-A3B. Input tokens are 95% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3.5-35B-A3B. Its 65K 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 Realtime Preview 2025 06 03Qwen3.5-35B-A3B
Context window128,000 tokens (128K)262,144 tokens (262K)
Max output tokens4,096 tokens (4K)65,536 tokens (65K)
Speed tierBalancedFast
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APIYesNo
Release dateN/AFeb 2026

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 Realtime Preview 2025 06 03 inGpt 4o Realtime Preview 2025 06 03 outQwen3.5-35B-A3B inQwen3.5-35B-A3B out
Openai$5.00/M$20.00/M——
Openrouter——$0.250/M$2.00/M

Frequently asked questions

Qwen3.5-35B-A3B 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