Google: Nano Banana Pro (Gemini 3 Pro Image) vs Qwen/Qwen2.5-VL-32B-Instruct-AWQ

Google: Nano Banana Pro (Gemini 3 Pro Image) comes out ahead on the data we track: 6 advantages and none for Qwen/Qwen2.5-VL-32B-Instruct-AWQ.

Key numbers

SpecGoogle: Nano Banana Pro (Gemini 3 Pro Image)Qwen/Qwen2.5-VL-32B-Instruct-AWQ
ProviderGoogleHugging Face
Input price (per 1M tokens)$2.00n/a
Output price (per 1M tokens)$12.00n/a
Blended price (3:1 input/output)$4.50n/a
Cheaper than … of all models we track12%n/a
Context window131K tokens (~197 pages)n/a
Larger context than … of all models23%n/a
Max output per response33K tokens (~24,600 words)n/a
Input typesimage, texttext
Output typesimage, textimage
Free variantNoNo
Listed since2026-06-18n/a
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Nano Banana Pro (Gemini 3 Pro Image)Qwen/Qwen2.5-VL-32B-Instruct-AWQDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$390n/a—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$360n/a—
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$384n/a—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$232n/a—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$112n/a—

Capabilities side by side

CapabilityGoogle: Nano Banana Pro (Gemini 3 Pro Image)Qwen/Qwen2.5-VL-32B-Instruct-AWQWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return JSON that validates against your schema
Reasoning / thinking mode✓ Yes—spend extra tokens thinking before answering hard problems
Image input✓ Yes—read screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output✓ Yes✓ Yesgenerate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)✓ Yes—repeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Google: Nano Banana Pro (Gemini 3 Pro Image) if…

  • you need tool / function calling — to call your APIs and run agent loops; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it
  • you need built-in web search — to answer from live web results; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Qwen/Qwen2.5-VL-32B-Instruct-AWQ does not advertise it

Choose Qwen/Qwen2.5-VL-32B-Instruct-AWQ if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Frequently asked questions

Is Google: Nano Banana Pro (Gemini 3 Pro Image) better than Qwen/Qwen2.5-VL-32B-Instruct-AWQ?

Google: Nano Banana Pro (Gemini 3 Pro Image) comes out ahead on the data we track: 6 advantages and none for Qwen/Qwen2.5-VL-32B-Instruct-AWQ.

Do Google: Nano Banana Pro (Gemini 3 Pro Image) and Qwen/Qwen2.5-VL-32B-Instruct-AWQ support function calling and JSON output?

Tool calling — Google: Nano Banana Pro (Gemini 3 Pro Image): yes, Qwen/Qwen2.5-VL-32B-Instruct-AWQ: not advertised. JSON-schema structured output — Google: Nano Banana Pro (Gemini 3 Pro Image): yes, Qwen/Qwen2.5-VL-32B-Instruct-AWQ: not advertised.

Can Google: Nano Banana Pro (Gemini 3 Pro Image) or Qwen/Qwen2.5-VL-32B-Instruct-AWQ read images?

Only Google: Nano Banana Pro (Gemini 3 Pro Image) accepts image input; Qwen/Qwen2.5-VL-32B-Instruct-AWQ is text-only for input.

Is Google: Nano Banana Pro (Gemini 3 Pro Image) or Qwen/Qwen2.5-VL-32B-Instruct-AWQ free to use?

No free variant is listed for either; both are pay-per-token.

About the two models

Compare Google: Nano Banana Pro (Gemini 3 Pro Image) with other models

Compare Qwen/Qwen2.5-VL-32B-Instruct-AWQ with other models

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