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UI-TARS 7B vs Hy-MT2-7B

UI-TARS 7B costs 1.5x less per output token than Hy-MT2-7B ($0.20 vs $0.295 per million). Updated October 22, 2026; no benchmark has tested both models yet.

UI-TARS 7BByteDance
Coding
No data
Overall
No data
Output $/M
$0.20
Hy-MT2-7BTencent
Coding
No data
Overall
No data
Output $/M
$0.295
vs $0.20 vs $0.295 per 1M output tokens. UI-TARS 7B is 1.5x cheaper.

UI-TARS 7B or Hy-MT2-7B: 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 1.5x cheaper ($0.20 vs $0.295 per million) and a larger context window (128K against 8K tokens).

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Hy-MT2-7B 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, Hy-MT2-7B 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 Hy-MT2-7B $0.295 per million output tokens, 1.5x apart.
Context window
UI-TARS 7B takes 128K tokens, Hy-MT2-7B 8K.

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 Hy-MT2-7B
BenchmarkUI-TARS 7BHy-MT2-7BLeader
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
Hy-MT2-7B$0.0002Fits in one request

UI-TARS 7B costs less

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
Hy-MT2-7B$0.0046Exceeds the context window

Hy-MT2-7B costs less

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
Hy-MT2-7B$0.018Exceeds the context window

Hy-MT2-7B 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 Hy-MT2-7B
SpecificationByteDance UI-TARS 7BTencent Hy-MT2-7B
MakerByteDanceTencent
WeightsOpen weightsOpen weights
ReleasedJuly 22, 2025August 19, 2026
Context window128K8K
Input $/Mtok$0.10$0.074
Output $/Mtok$0.20$0.295
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is UI-TARS 7B better than Hy-MT2-7B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick UI-TARS 7B for output tokens 1.5x cheaper ($0.20 vs $0.295 per million) and a larger context window (128K against 8K tokens).

Which is cheaper, UI-TARS 7B or Hy-MT2-7B?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; Hy-MT2-7B costs $0.074 and $0.295. Cost per solved task is known for neither of them.

Which has the bigger context window, UI-TARS 7B or Hy-MT2-7B?

UI-TARS 7B, with 128K tokens against 8K.

Has any benchmark tested both UI-TARS 7B and Hy-MT2-7B?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Hy-MT2-7B has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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