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UI-TARS 7B vs Nemotron 3.5 Content Safety

UI-TARS 7B and Nemotron 3.5 Content Safety cost about the same per output token ($0.20 vs $0.20 per million). Updated October 23, 2026; no benchmark has tested both models yet.

UI-TARS 7BByteDance
Coding
No data
Overall
No data
Output $/M
$0.20
Nemotron 3.5 Content SafetyNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.20
vs $0.20 vs $0.20 per 1M output tokens. About the same price.

UI-TARS 7B or Nemotron 3.5 Content Safety: which to pick

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Nemotron 3.5 Content Safety has none yet. 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, Nemotron 3.5 Content Safety 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
Both cost $0.20 per million output tokens.
Context window
UI-TARS 7B takes 128K tokens, Nemotron 3.5 Content Safety 131K.

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 Nemotron 3.5 Content Safety
BenchmarkUI-TARS 7BNemotron 3.5 Content SafetyLeader
Kagi LLM Benchmark20.7%Not measuredOnly UI-TARS 7B measured
Neither model has a result on the other 22 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
Nemotron 3.5 Content Safety$0.0003Fits in one request

UI-TARS 7B costs less

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
Nemotron 3.5 Content Safety$0.011Fits in one request

UI-TARS 7B costs less

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
Nemotron 3.5 Content Safety$0.042Exceeds 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 Nemotron 3.5 Content Safety
SpecificationByteDance UI-TARS 7BNVIDIA Nemotron 3.5 Content Safety
MakerByteDanceNVIDIA
WeightsOpen weightsOpen weights
ReleasedJuly 22, 2025June 4, 2026
Context window128K131K
Input $/Mtok$0.10$0.20
Output $/Mtok$0.20$0.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is UI-TARS 7B better than Nemotron 3.5 Content Safety for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, UI-TARS 7B or Nemotron 3.5 Content Safety?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; Nemotron 3.5 Content Safety costs $0.20 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, UI-TARS 7B or Nemotron 3.5 Content Safety?

Nemotron 3.5 Content Safety, with 131K tokens against 128K.

Has any benchmark tested both UI-TARS 7B and Nemotron 3.5 Content Safety?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Nemotron 3.5 Content Safety has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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