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UI-TARS 7B vs Qwen2.5 7B Instruct

UI-TARS 7B and Qwen2.5 7B Instruct cost about the same per output token ($0.20 vs $0.20 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace UI-TARS 7B Replace Qwen2.5 7B Instruct
UI-TARS 7BByteDance
Coding
No data
Overall
No data
Output $/M
$0.20
Qwen2.5 7B InstructQwen
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 Qwen2.5 7B Instruct: which to pick

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

Pick UI-TARS 7B for a larger context window (128K against 33K tokens).

Model AUI-TARS 7BByteDanceNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen2.5 7B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). 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, Qwen2.5 7B Instruct 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, Qwen2.5 7B Instruct 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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
Epoch Capabilities IndexNot measured118.5Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
BALROGNot measured7.8%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
GPQA Diamond (Epoch AI run)Not measured35.5%Only Qwen2.5 7B Instruct measured
Kagi LLM Benchmark20.7%Not measuredOnly UI-TARS 7B measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
OTIS Mock AIMENot measured2.5%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
MMLUNot measured72.9%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for UI-TARS 7B and Qwen2.5 7B Instruct
BenchmarkUI-TARS 7BQwen2.5 7B InstructLeader
DTBenchNot measured47.7%Only Qwen2.5 7B Instruct measured
LMCANot measured6.4%Only Qwen2.5 7B Instruct measured
Neither model has a result on the other 44 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
Qwen2.5 7B Instruct$0.0002Fits in one request

Same cost

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
Qwen2.5 7B Instruct$0.0056Exceeds the context window

Same cost

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
Qwen2.5 7B Instruct$0.022Exceeds the context window

Same cost

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 Qwen2.5 7B Instruct
SpecificationByteDance UI-TARS 7BQwen2.5 7B Instruct
MakerByteDanceQwen
WeightsOpen weightsOpen weights
ReleasedJuly 22, 2025October 16, 2024
Context window128K33K
Input $/Mtok$0.10$0.10
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 Qwen2.5 7B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick UI-TARS 7B for a larger context window (128K against 33K tokens).

Which is cheaper, UI-TARS 7B or Qwen2.5 7B Instruct?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; Qwen2.5 7B Instruct costs $0.10 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, UI-TARS 7B or Qwen2.5 7B Instruct?

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

Has any benchmark tested both UI-TARS 7B and Qwen2.5 7B Instruct?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.

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