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UI-TARS 7B vs o1-pro

UI-TARS 7B costs 3000.0x less per output token than o1-pro ($0.20 vs $600.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

UI-TARS 7BByteDance
Coding
No data
Overall
No data
Output $/M
$0.20
o1-proOpenAI
Coding
No data
Overall
No data
Output $/M
$600.00
vs $0.20 vs $600.00 per 1M output tokens. UI-TARS 7B is 3000.0x cheaper.

UI-TARS 7B or o1-pro: 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 3000.0x cheaper ($0.20 vs $600.00 per million).

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; o1-pro on AA Intelligence Index and ARC-AGI. 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, o1-pro 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 o1-pro $600.00 per million output tokens, 3000.0x apart.
Context window
UI-TARS 7B takes 128K tokens, o1-pro 200K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for UI-TARS 7B and o1-pro
BenchmarkUI-TARS 7Bo1-proLeader
AA Intelligence IndexNot measured12.4Only o1-pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for UI-TARS 7B and o1-pro
BenchmarkUI-TARS 7Bo1-proLeader
ARC-AGINot measured23.3%Only o1-pro measured
Kagi LLM Benchmark20.7%Not measuredOnly UI-TARS 7B measured
Neither model has a result on the other 20 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
o1-pro$0.450Fits in one request

UI-TARS 7B costs less

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
o1-pro$9.30Fits in one request

UI-TARS 7B costs less

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
o1-pro$36.00Exceeds 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 o1-pro
SpecificationByteDance UI-TARS 7BOpenAI o1-pro
MakerByteDanceOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 22, 2025March 19, 2025
Context window128K200K
Input $/Mtok$0.10$150.00
Output $/Mtok$0.20$600.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is UI-TARS 7B better than o1-pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick UI-TARS 7B for output tokens 3000.0x cheaper ($0.20 vs $600.00 per million).

Which is cheaper, UI-TARS 7B or o1-pro?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; o1-pro costs $150.00 and $600.00. Cost per solved task is known for neither of them.

Which has the bigger context window, UI-TARS 7B or o1-pro?

o1-pro, with 200K tokens against 128K.

Has any benchmark tested both UI-TARS 7B and o1-pro?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; o1-pro on AA Intelligence Index and ARC-AGI. Compare them on price and context instead. Data as of October 21, 2026.

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