Context Window

Compare

Qwen3.5 Plus 2026-02-15 vs Text Bison 001

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.

Alibaba

Model

Qwen3.5 Plus 2026-02-15

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Google

Model

Text Bison 001

Context window

8K

8,192 tokens · ~6K 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.

Qwen3.5 Plus 2026-02-151M
Text Bison 0018K

Qwen3.5 Plus 2026-02-15 has about 122.1× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3.5 Plus 2026-02-15 has 12107% more context capacity (1000K vs 8K tokens). Text Bison 001 is 68% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3.5 Plus 2026-02-15. Its 1000K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Text Bison 001. Input tokens are 68% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen3.5 Plus 2026-02-15. 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.

SpecQwen3.5 Plus 2026-02-15Text Bison 001
Context window1,000,000 tokens (1000K)8,192 tokens (8K)
Max output tokens65,536 tokens (65K)1,024 tokens (1K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesNo
Extended thinkingYesNo
Prompt cachingNoNo
Batch APINoNo
Release dateFeb 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.

ProviderQwen3.5 Plus 2026-02-15 inQwen3.5 Plus 2026-02-15 outText Bison 001 inText Bison 001 out
Google——$0.125/M$0.125/M
Openrouter$0.400/M$2.40/M——

Frequently asked questions

Qwen3.5 Plus 2026-02-15 has a larger context window: 1000K tokens vs 8K. 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