Context Window

Compare

Databricks Grok 4 7 vs Qwen3 Coder Plus

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.

Xai

Model

Databricks Grok 4 7

Image inputTool calling

Context window

500K

500,000 tokens · ~375K words

Model page
Alibaba

Model

Qwen3 Coder Plus

Tool calling

Context window

998K

997,952 tokens · ~748K 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 Grok 4 7500K
Qwen3 Coder Plus998K

Qwen3 Coder Plus has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Coder Plus has 99% more context capacity (997K vs 500K tokens). Qwen3 Coder Plus is 74% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Coder Plus. Its 997K context fits entire documents without chunking (vs 500K).

  • RAG / high-volume retrieval

    Use Qwen3 Coder Plus. Input tokens are 74% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Grok 4 7. Its 500K 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 Grok 4 7Qwen3 Coder Plus
Context window500,000 tokens (500K)997,952 tokens (997K)
Max output tokens500,000 tokens (500K)65,536 tokens (65K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/ASep 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 Grok 4 7 inDatabricks Grok 4 7 outQwen3 Coder Plus inQwen3 Coder Plus out
Alibaba Cloud————
Databricks$2.50/M$7.50/M——
Openrouter——$0.650/M$3.25/M

Frequently asked questions

Qwen3 Coder Plus has a larger context window: 997K tokens vs 500K. 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