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Model comparison · Updated 1 Sep 2026

Nano Banana (Gemini 2.5 Flash Image) vs Qwen2.5 72B Instruct

Nano Banana (Gemini 2.5 Flash Image) is about 1.2× cheaper on input ($0.30 against $0.36 per 1M tokens), though Qwen2.5 72B Instruct is cheaper on output. Both have a 33K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $360 a month for Nano Banana (Gemini 2.5 Flash Image) and $198 for Qwen2.5 72B Instruct.

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ModelsAtlas. “Nano Banana (Gemini 2.5 Flash Image) vs Qwen2.5 72B Instruct”. Retrieved 1 Sep 2026. https://modelsatlas.com/compare/google/gemini-2-5-flash-image/vs/qwen/2-5-72b-instruct

Model A

Nano Banana (Gemini 2.5 Flash Image)

by Google · weights not marked open · GRIDD2

Input / 1M
$0.30
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$2.50
Context33K
vs

Model B

Qwen2.5 72B Instruct

by Qwen (Alibaba) · weights not marked open · GRIDD2

Input / 1M
$0.36
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.40
Context33K

Key numbers

Standard tier · highlighted = better

Nano Banana (Gemini 2.5 Flash Image)
Qwen2.5 72B Instruct
Input / 1M tokens
$0.30
$0.36
Output / 1M tokens
$2.50
$0.40
Batch input / output
Not listed
Not listed
Context window
32,768
32,768
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-08-17
2026-09-01

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$360/mo
$198/mo
RAG over documents2k queries/day · 12k in, 500 out
$291/mo
$271/mo
Coding agent300 tasks/day · 60k in, 8k out
$342/mo
$223/mo

Nano Banana (Gemini 2.5 Flash Image)   Qwen2.5 72B Instruct · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

Same square. Nano Banana (Gemini 2.5 Flash Image) and Qwen2.5 72B Instruct share D2.

Same square as Nano Banana (Gemini 2.5 Flash Image): MiniMax M2-her ($0.30), Mistral Small 3.1 24B ($0.35), WizardLM-2 8x22B ($0.62). Open D2

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueMiniMax M2-her · D2Mistral Small 3.1 24B · D2WizardLM-2 8x22B · D2Qwen2.5 Coder 32B Instruct · D2Qwen2.5 VL 72B Instruct · D2Nano Banana (Gemini 2.5 Flash Image)Nano Banana (Gemini 2.5 Flash Image)Qwen2.5 72B InstructQwen2.5 72B Instruct
Nano Banana (Gemini 2.5 Flash Image)Qwen2.5 72B InstructNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDD2$0.30–132–128KNano Banana (Gemini 2.5 Flash Image), Qwen2.5 72B Instruct, MiniMax M2-her, Mistral Small 3.1 24B, WizardLM-2 8x22B, Qwen2.5 Coder 32B Instruct, Qwen2.5 VL 72B Instruct

Capabilities side by side

Only what our records list

Nano Banana (Gemini 2.5 Flash Image)
Qwen2.5 72B Instruct
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose Nano Banana (Gemini 2.5 Flash Image) if…

  • you pay by the token: it costs $0.30 per 1M input against $0.36

Choose Qwen2.5 72B Instruct if…

  • output dominates your bill: $0.40 per 1M output against $2.50

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is Nano Banana (Gemini 2.5 Flash Image) better than Qwen2.5 72B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: Nano Banana (Gemini 2.5 Flash Image) is about 1.2× cheaper on input ($0.30 against $0.36 per 1M tokens), though Qwen2.5 72B Instruct is cheaper on output. Both have a 33K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $360 a month for Nano Banana (Gemini 2.5 Flash Image) and $198 for Qwen2.5 72B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Qwen2.5 72B Instruct?
Nano Banana (Gemini 2.5 Flash Image): $0.30 against $0.36 per 1M input tokens, and $2.50 against $0.40 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Nano Banana (Gemini 2.5 Flash Image): $0.30 input and $2.50 output. Qwen2.5 72B Instruct: $0.36 input and $0.40 output. Standard tier, USD.
Which has the larger context window?
Neither: both have 32,768 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Nano Banana (Gemini 2.5 Flash Image): none recorded. For Qwen2.5 72B Instruct: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
Nano Banana (Gemini 2.5 Flash Image): not marked open-weight in our records. Qwen2.5 72B Instruct: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $360 a month for Nano Banana (Gemini 2.5 Flash Image) and $198 for Qwen2.5 72B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

Nano Banana (Gemini 2.5 Flash Image)

By Google. $0.30 input and $2.50 output per 1M tokens, 33K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

Qwen2.5 72B Instruct

By Qwen (Alibaba). $0.36 input and $0.40 output per 1M tokens, 33K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

Compare Nano Banana (Gemini 2.5 Flash Image) with…

Compare Qwen2.5 72B Instruct with…

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