Context Window

Compare

Claude Opus 5.5 vs Qwen3 8 Omni Flash

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.

Anthropic

Model

Claude Opus 5.5

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Alibaba

Model

Qwen3 8 Omni Flash

Image inputTool calling

Context window

992K

991,808 tokens · ~744K 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.

Claude Opus 5.51M
Qwen3 8 Omni Flash992K

Claude Opus 5.5 has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Opus 5.5 has 0% more context capacity (1000K vs 991K tokens). Qwen3 8 Omni Flash is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Opus 5.5. Its 1000K context fits entire documents without chunking (vs 991K).

  • RAG / high-volume retrieval

    Use Qwen3 8 Omni Flash. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3 8 Omni Flash. Its 131K 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.

SpecClaude Opus 5.5Qwen3 8 Omni Flash
Context window1,000,000 tokens (1000K)991,808 tokens (991K)
Max output tokens128,000 tokens (128K)131,072 tokens (131K)
Speed tierDeepFast
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateSep 2026N/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.

ProviderClaude Opus 5.5 inClaude Opus 5.5 outQwen3 8 Omni Flash inQwen3 8 Omni Flash out
Alibaba Cloud——$0.150/M$0.470/M
Anthropic$4.00/M$20.00/M——
Aws Bedrock$4.00/M$20.00/M——
Azure$4.00/M$20.00/M——
Google Vertex$4.00/M$20.00/M——
Openrouter$4.00/M$20.00/M$0.150/M$0.470/M

Frequently asked questions

Claude Opus 5.5 has a larger context window: 1000K tokens vs 991K. 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