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Model comparison · Updated 2 Nov 2026

Nano Banana 2.1 vs GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo (older v0613) is about 1.5× cheaper on input ($1.00 against $1.50 per 1M tokens) and on output. Nano Banana 2.1 has the larger context window (66K against 4K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $1,350 a month for Nano Banana 2.1 and $630 for GPT-3.5 Turbo (older v0613).

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ModelsAtlas. “Nano Banana 2.1 vs GPT-3.5 Turbo (older v0613)”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/google/gemini-nano-banana-2-1/vs/openai/gpt-3-5-turbo

Model A

Nano Banana 2.1

by Google · weights not marked open · GRIDE2

Input / 1M
$1.50
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$7.50
Context66K
vs

Model B

GPT-3.5 Turbo (older v0613)

by OpenAI · weights not marked open · GRIDE1

Input / 1M
$1.00
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026
Output / 1M$2.00
Context4K

Key numbers

Standard tier · highlighted = better

Nano Banana 2.1
GPT-3.5 Turbo (older v0613)
Input / 1M tokens
$1.50
$1.00
Output / 1M tokens
$7.50
$2.00
Batch input / output
Not listed
Not listed
Context window
65,536
4,095
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-10-10
2026-11-02

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$1,350/mo
$630/mo
RAG over documents2k queries/day · 12k in, 500 out
$1,305/mo
$780/mo
Coding agent300 tasks/day · 60k in, 8k out
$1,350/mo
$684/mo

Nano Banana 2.1   GPT-3.5 Turbo (older v0613) · 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)

1 square apart. GPT-3.5 Turbo (older v0613) (E1) sits 1 context band smaller than Nano Banana 2.1 (E2).

Same square as Nano Banana 2.1: GPT-5.2 Chat ($1.75), Mixtral 8x22B Instruct ($2.00), Command R+ (08-2024) ($2.50). Open E2 · Open E1

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 valueGPT-5.2 Chat · E2Mixtral 8x22B Instruct · E2Command R+ (08-2024) · E2GPT-4o · E2GPT Audio · E2Nano Banana Pro (Gemini 3 Pro Image) · E3Gemma 2 27B · D1Nano Banana 2.1Nano Banana 2.1GPT-3.5 Turbo (older v0613)GPT-3.5 Turbo (older v0613)
Nano Banana 2.1GPT-3.5 Turbo (older v0613)Nearest neighboursOpen weights
View the map as a table (4 squares)

Capabilities side by side

Only what our records list

Nano Banana 2.1
GPT-3.5 Turbo (older v0613)
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 2.1 if…

  • your prompts are long: it takes 65,536 tokens against 4,095

Choose GPT-3.5 Turbo (older v0613) if…

  • you pay by the token: it costs $1.00 per 1M input against $1.50
  • output dominates your bill: $2.00 per 1M output against $7.50

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 2.1 better than GPT-3.5 Turbo (older v0613)?
We do not benchmark quality, so we cannot say. On the recorded numbers: GPT-3.5 Turbo (older v0613) is about 1.5× cheaper on input ($1.00 against $1.50 per 1M tokens) and on output. Nano Banana 2.1 has the larger context window (66K against 4K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $1,350 a month for Nano Banana 2.1 and $630 for GPT-3.5 Turbo (older v0613). Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Nano Banana 2.1 or GPT-3.5 Turbo (older v0613)?
GPT-3.5 Turbo (older v0613): $1.00 against $1.50 per 1M input tokens, and $2.00 against $7.50 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Nano Banana 2.1: $1.50 input and $7.50 output. GPT-3.5 Turbo (older v0613): $1.00 input and $2.00 output. Standard tier, USD.
Which has the larger context window?
Nano Banana 2.1, with 65,536 tokens. GPT-3.5 Turbo (older v0613) has 4,095 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 2.1: none recorded. For GPT-3.5 Turbo (older v0613): 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 2.1: not marked open-weight in our records. GPT-3.5 Turbo (older v0613): 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 $1,350 a month for Nano Banana 2.1 and $630 for GPT-3.5 Turbo (older v0613). This is our calculation from the listed prices, not a quote.

About the two models

Nano Banana 2.1

By Google. $1.50 input and $7.50 output per 1M tokens, 66K context, atlas square E2. Tiers listed: standard.

Full specs & pricing →

GPT-3.5 Turbo (older v0613)

By OpenAI. $1.00 input and $2.00 output per 1M tokens, 4K context, atlas square E1. Tiers listed: standard.

Full specs & pricing →

Compare Nano Banana 2.1 with…

Compare GPT-3.5 Turbo (older v0613) with…

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