Context Window

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Qwen2.5 Coder 32B Instruct vs System Ai Gemini 4 Carbon

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

Qwen2.5 Coder 32B Instruct

Context window

34K

33,792 tokens · ~25K words

Model page
Google

Model

System Ai Gemini 4 Carbon

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K 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.

Qwen2.5 Coder 32B Instruct34K
System Ai Gemini 4 Carbon1.0M

System Ai Gemini 4 Carbon has about 31× the context window of the other in this pair.

Token calculator →Memory savings →

System Ai Gemini 4 Carbon has 3003% more context capacity (1048K vs 33K tokens). Qwen2.5 Coder 32B Instruct is 67% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use System Ai Gemini 4 Carbon. Its 1048K context fits entire documents without chunking (vs 33K).

  • RAG / high-volume retrieval

    Use Qwen2.5 Coder 32B Instruct. Input tokens are 67% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use System Ai Gemini 4 Carbon. Its 1048K 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.

SpecQwen2.5 Coder 32B InstructSystem Ai Gemini 4 Carbon
Context window33,792 tokens (33K)1,048,576 tokens (1048K)
Max output tokens33,792 tokens (33K)1,048,576 tokens (1048K)
Speed tierBalancedFast
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateNov 2024N/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.

ProviderQwen2.5 Coder 32B Instruct inQwen2.5 Coder 32B Instruct outSystem Ai Gemini 4 Carbon inSystem Ai Gemini 4 Carbon out
Databricks——$2.00/M$10.00/M
Openrouter$0.660/M$1.00/M——

Frequently asked questions

System Ai Gemini 4 Carbon has a larger context window: 1048K tokens vs 33K. 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