Context Window

Compare

Databricks Qwen35 122b A10b vs Deep Research Preview 04 2026

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

Databricks Qwen35 122b A10b

Tool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Google

Model

Deep Research Preview 04 2026

Image input

Context window

131K

131,072 tokens · ~98K 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 Qwen35 122b A10b262K
Deep Research Preview 04 2026131K

Databricks Qwen35 122b A10b has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Databricks Qwen35 122b A10b has 100% more context capacity (262K vs 131K tokens). Databricks Qwen35 122b A10b is 89% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Qwen35 122b A10b. Its 262K context fits entire documents without chunking (vs 131K).

  • RAG / high-volume retrieval

    Use Databricks Qwen35 122b A10b. Input tokens are 89% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Deep Research Preview 04 2026. 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 Qwen35 122b A10bDeep Research Preview 04 2026
Context window262,144 tokens (262K)131,072 tokens (131K)
Max output tokens25,000 tokens (25K)65,536 tokens (65K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesNo
Extended thinkingYesNo
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.

ProviderDatabricks Qwen35 122b A10b inDatabricks Qwen35 122b A10b outDeep Research Preview 04 2026 inDeep Research Preview 04 2026 out
Databricks$0.220/M$2.20/M——
Google——$2.00/M$12.00/M

Frequently asked questions

Databricks Qwen35 122b A10b has a larger context window: 262K tokens vs 131K. 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.

Calculate your savingsLearn about Mem0

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