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UI-TARS 7B vs Nano Banana (Gemini 2.5 Flash Image)

UI-TARS 7B costs 12.5x less per output token than Nano Banana (Gemini 2.5 Flash Image) ($0.20 vs $2.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace UI-TARS 7B Replace Nano Banana (Gemini 2.5 Flash Image)
UI-TARS 7BByteDance
Coding
No data
Overall
No data
Output $/M
$0.20
Nano Banana (Gemini 2.5 Flash Image)Google
Coding
No data
Overall
No data
Output $/M
$2.50
vs $0.20 vs $2.50 per 1M output tokens. UI-TARS 7B is 12.5x cheaper.

UI-TARS 7B or Nano Banana (Gemini 2.5 Flash Image): which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick UI-TARS 7B for output tokens 12.5x cheaper ($0.20 vs $2.50 per million) and a larger context window (128K against 33K tokens).

Model AUI-TARS 7BByteDanceNot benchmarkedNo coding benchmarkNo cost per solved taskModel BNano Banana (Gemini 2.5 Flash Image)GoogleNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Nano Banana (Gemini 2.5 Flash Image) on Design Arena: images, Design Arena: graphic design and Design Arena: logos. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
UI-TARS 7B not benchmarked, Nano Banana (Gemini 2.5 Flash Image) not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
UI-TARS 7B $0.20 against Nano Banana (Gemini 2.5 Flash Image) $2.50 per million output tokens, 12.5x apart.
Context window
UI-TARS 7B takes 128K tokens, Nano Banana (Gemini 2.5 Flash Image) 33K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for UI-TARS 7B and Nano Banana (Gemini 2.5 Flash Image)
BenchmarkUI-TARS 7BNano Banana (Gemini 2.5 Flash Image)Leader
Kagi LLM Benchmark20.7%Not measuredOnly UI-TARS 7B measured
Neither model has a result on the other 21 boards here
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Image generation benchmarks for UI-TARS 7B and Nano Banana (Gemini 2.5 Flash Image)
BenchmarkUI-TARS 7BNano Banana (Gemini 2.5 Flash Image)Leader
Design Arena: imagesNot measured1178Only Nano Banana (Gemini 2.5 Flash Image) measured
Design Arena: graphic designNot measured1151Only Nano Banana (Gemini 2.5 Flash Image) measured
Design Arena: logosNot measured1169Only Nano Banana (Gemini 2.5 Flash Image) measured
Neither model has a result on the other 2 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

UI-TARS 7B$0.0002Fits in one request
Nano Banana (Gemini 2.5 Flash Image)$0.0015Fits in one request

UI-TARS 7B costs less

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
Nano Banana (Gemini 2.5 Flash Image)$0.022Exceeds the context window

UI-TARS 7B costs less

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
Nano Banana (Gemini 2.5 Flash Image)$0.085Exceeds the context window

UI-TARS 7B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of UI-TARS 7B and Nano Banana (Gemini 2.5 Flash Image)
SpecificationByteDance UI-TARS 7BGoogle Nano Banana (Gemini 2.5 Flash Image)
MakerByteDanceGoogle
WeightsOpen weightsNo public weights listed
ReleasedJuly 22, 2025October 7, 2025
Context window128K33K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.20$2.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is UI-TARS 7B better than Nano Banana (Gemini 2.5 Flash Image) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick UI-TARS 7B for output tokens 12.5x cheaper ($0.20 vs $2.50 per million) and a larger context window (128K against 33K tokens).

Which is cheaper, UI-TARS 7B or Nano Banana (Gemini 2.5 Flash Image)?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; Nano Banana (Gemini 2.5 Flash Image) costs $0.30 and $2.50. Cost per solved task is known for neither of them.

Which has the bigger context window, UI-TARS 7B or Nano Banana (Gemini 2.5 Flash Image)?

UI-TARS 7B, with 128K tokens against 33K.

Has any benchmark tested both UI-TARS 7B and Nano Banana (Gemini 2.5 Flash Image)?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Nano Banana (Gemini 2.5 Flash Image) on Design Arena: images, Design Arena: graphic design and Design Arena: logos. Compare them on price and context instead. Data as of October 22, 2026.

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