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Databricks Gemini 2 5 Flash vs Qwen-Max

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.

Google

Model

Databricks Gemini 2 5 Flash

Tool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Alibaba

Model

Qwen-Max

Tool calling

Context window

31K

30,720 tokens · ~23K 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.

Databricks Gemini 2 5 Flash1.0M
Qwen-Max31K

Databricks Gemini 2 5 Flash has about 34.1× the context window of the other in this pair.

Databricks Gemini 2 5 Flash has 3313% more context capacity (1048K vs 30K tokens). Databricks Gemini 2 5 Flash is 81% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Gemini 2 5 Flash. Its 1048K context fits entire documents without chunking (vs 30K).

  • RAG / high-volume retrieval

    Use Databricks Gemini 2 5 Flash. Input tokens are 81% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Gemini 2 5 Flash. 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.

SpecDatabricks Gemini 2 5 FlashQwen-Max
Context window1,048,576 tokens (1048K)30,720 tokens (30K)
Max output tokens65,535 tokens (65K)8,192 tokens (8K)
Speed tierFastBalanced
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AFeb 2025

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.

ProviderDatabricks Gemini 2 5 Flash inDatabricks Gemini 2 5 Flash outQwen-Max inQwen-Max out
Alibaba Cloud$1.60/M$6.40/M
Databricks$0.300/M$2.50/M

Frequently asked questions

Databricks Gemini 2 5 Flash has a larger context window: 1048K tokens vs 30K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

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.

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