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UI-TARS 7B vs Claude Sonnet 5

UI-TARS 7B costs 50.0x less per output token than Claude Sonnet 5 ($0.20 vs $10.00 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
Claude Sonnet 5Anthropic
Coding
57.7
Overall
63.2
Output $/M
$10.00
vs $0.20 vs $10.00 per 1M output tokens. UI-TARS 7B is 50.0x cheaper.

UI-TARS 7B or Claude Sonnet 5: which to pick

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; UI-TARS 7B has none, so the two cannot be ranked on coding.

Pick UI-TARS 7B for output tokens 50.0x cheaper ($0.20 vs $10.00 per million).

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Claude Sonnet 5 on LiveBench coding, LMArena WebDev and AA Coding Index. 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, Claude Sonnet 5 57.7 from 6 benchmarks.
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 Claude Sonnet 5 $10.00 per million output tokens, 50.0x apart.
Context window
UI-TARS 7B takes 128K tokens, Claude Sonnet 5 1M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index25 boards measured
Coding benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
LiveBench codingNot measured74.7%Only Claude Sonnet 5 measured
LMArena WebDevNot measured1540Only Claude Sonnet 5 measured
AA Coding IndexNot measured71.5Only Claude Sonnet 5 measured
LiveCodeBench (Vals AI)Not measured82.4%Only Claude Sonnet 5 measured
SWE-bench Verified (Vals AI)Not measured79.6%Only Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Claude Sonnet 5 measured
Vibe Code Bench (Vals AI)Not measured81.3%Only Claude Sonnet 5 measured
Code migration (Vals AI)Not measured44.4%Only Claude Sonnet 5 measured
ProgramBench (Vals AI)Not measured0.0%Only Claude Sonnet 5 measured
IOI (Vals AI)Not measured45.0%Only Claude Sonnet 5 measured
Terminal-Bench 2.1 (Vals AI)Not measured74.5%Only Claude Sonnet 5 measured
Vibe Code Bench 1-100 (Vals AI)Not measured13.8%Only Claude Sonnet 5 measured
SkillsBench (Vals AI)Not measured46.5%Only Claude Sonnet 5 measured
CyberBench (Vals AI)Not measured70.3%Only Claude Sonnet 5 measured
SciCodeNot measured54.3%Only Claude Sonnet 5 measured
FrontierCodeNot measured42.7%Only Claude Sonnet 5 measured
GSO-BenchNot measured37.3%Only Claude Sonnet 5 measured
WeirdMLNot measured68.8%Only Claude Sonnet 5 measured
ALE-BenchNot measured1463.1Only Claude Sonnet 5 measured
LMArena Text: codingNot measured1483Only Claude Sonnet 5 measured
LMArena Text: software and ITNot measured1474Only Claude Sonnet 5 measured
LMArena WebDev: ReactNot measured1541Only Claude Sonnet 5 measured
LMArena WebDev: HTMLNot measured1527Only Claude Sonnet 5 measured
LMArena WebDev: from an imageNot measured1540Only Claude Sonnet 5 measured
SciCodeNot measured10.7%Only Claude Sonnet 5 measured
Neither model has a result on the other 14 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
AA Intelligence IndexNot measured38.2Only Claude Sonnet 5 measured
Epoch Capabilities IndexNot measured156.9Only Claude Sonnet 5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards measured
Agentic work benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
AA Agentic IndexNot measured43.6Only Claude Sonnet 5 measured
Design Arena: agents building web appsNot measured1245Only Claude Sonnet 5 measured
Design Arena: agents building full-stack appsNot measured1249Only Claude Sonnet 5 measured
Design Arena: agents building mobile appsNot measured1214Only Claude Sonnet 5 measured
Design Arena: agents building Android appsNot measured1227Only Claude Sonnet 5 measured
Design Arena: agents building Godot gamesNot measured1225Only Claude Sonnet 5 measured
Design Arena: agents building gamesNot measured1227Only Claude Sonnet 5 measured
Design Arena: HTML slidesNot measured1168Only Claude Sonnet 5 measured
Design Arena: PowerPoint slidesNot measured1193Only Claude Sonnet 5 measured
Design Arena: spreadsheetsNot measured1077Only Claude Sonnet 5 measured
LiveBench researchNot measured82.8%Only Claude Sonnet 5 measured
LiveBench browserNot measured72.0%Only Claude Sonnet 5 measured
LiveBench long agenticNot measured39.0%Only Claude Sonnet 5 measured
SREBench (Vals AI)Not measured0.4%Only Claude Sonnet 5 measured
Finance Agent (Vals AI)Not measured53.9%Only Claude Sonnet 5 measured
Tax Agent Bench (Vals AI)Not measured29.4%Only Claude Sonnet 5 measured
Legal Research Bench (Vals AI)Not measured41.8%Only Claude Sonnet 5 measured
Excel Modeling Benchmark (Vals AI)Not measured66.3%Only Claude Sonnet 5 measured
Terminal-Bench-Science (Vals AI)Not measured5.7%Only Claude Sonnet 5 measured
APEX-AgentsNot measured54.5%Only Claude Sonnet 5 measured
Vending-Bench 2Not measured$6,378Only Claude Sonnet 5 measured
Neither model has a result on the other 20 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards measured
Reasoning benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
GPQA DiamondNot measured88.9%Only Claude Sonnet 5 measured
LiveBench reasoningNot measured88.7%Only Claude Sonnet 5 measured
MMMU Pro (Vals AI)Not measured83.0%Only Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Claude Sonnet 5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured41.3%Only Claude Sonnet 5 measured
GPQA Diamond (Epoch AI run)Not measured90.5%Only Claude Sonnet 5 measured
SimpleBenchNot measured60.6%Only Claude Sonnet 5 measured
Chess puzzlesNot measured45.0%Only Claude Sonnet 5 measured
Mystery game puzzlesNot measured35.0%Only Claude Sonnet 5 measured
LMArena Text: hard promptsNot measured1461Only Claude Sonnet 5 measured
LMArena Text: expertNot measured1489Only Claude Sonnet 5 measured
LMArena Text: hard prompts in EnglishNot measured1464Only Claude Sonnet 5 measured
LMArena Vision: diagramsNot measured1293Only Claude Sonnet 5 measured
LMArena Vision: homeworkNot measured1311Only Claude Sonnet 5 measured
Kagi LLM Benchmark20.7%Not measuredOnly UI-TARS 7B measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
OTIS Mock AIMENot measured94.7%Only Claude Sonnet 5 measured
FrontierMath, tiers 1 to 3Not measured65.6%Only Claude Sonnet 5 measured
FrontierMath, tier 4Not measured29.3%Only Claude Sonnet 5 measured
ProofBenchNot measured77.0%Only Claude Sonnet 5 measured
LMArena Text: mathNot measured1467Only Claude Sonnet 5 measured
LMArena Text: mathematical workNot measured1481Only Claude Sonnet 5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
Knowledge benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
MMLU ProNot measured87.5%Only Claude Sonnet 5 measured
LegalBench (Vals AI)Not measured83.9%Only Claude Sonnet 5 measured
CorpFin (Vals AI)Not measured67.0%Only Claude Sonnet 5 measured
TaxEval (Vals AI)Not measured75.6%Only Claude Sonnet 5 measured
MortgageTax (Vals AI)Not measured70.0%Only Claude Sonnet 5 measured
MedCode (Vals AI)Not measured47.5%Only Claude Sonnet 5 measured
SimpleQA VerifiedNot measured33.7%Only Claude Sonnet 5 measured
LMArena Text: scienceNot measured1460Only Claude Sonnet 5 measured
LMArena Text: medicine and healthcareNot measured1442Only Claude Sonnet 5 measured
LMArena Text: legal and governmentNot measured1454Only Claude Sonnet 5 measured
LMArena Text: business and financeNot measured1436Only Claude Sonnet 5 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Web design benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
Design Arena: websitesNot measured1274Only Claude Sonnet 5 measured
Design Arena: UI componentsNot measured1277Only Claude Sonnet 5 measured
Design Arena: game devNot measured1276Only Claude Sonnet 5 measured
Design Arena: data vizNot measured1252Only Claude Sonnet 5 measured
Design Arena: 3DNot measured1260Only Claude Sonnet 5 measured
Design Arena: all code categoriesNot measured1275Only Claude Sonnet 5 measured
Design Arena: SVGNot measured1192Only Claude Sonnet 5 measured
Design Arena: ASCII artNot measured1207Only Claude Sonnet 5 measured
LiveBench designNot measured82.0%Only Claude Sonnet 5 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
General benchmarks for UI-TARS 7B and Claude Sonnet 5
BenchmarkUI-TARS 7BClaude Sonnet 5Leader
LiveBench data analysisNot measured71.7%Only Claude Sonnet 5 measured
Public Benefits Bench (Vals AI)Not measured66.0%Only Claude Sonnet 5 measured
SAGE (Vals AI)Not measured48.9%Only Claude Sonnet 5 measured
MedScribe (Vals AI)Not measured76.0%Only Claude Sonnet 5 measured
Vals Multimodal IndexNot measured68.8%Only Claude Sonnet 5 measured
Long context reasoning (AA-LCR)Not measured82.0%Only Claude Sonnet 5 measured
DTBenchNot measured92.5%Only Claude Sonnet 5 measured
LMCANot measured50.0%Only Claude Sonnet 5 measured
Surface Evolver BenchNot measured60.0%Only Claude Sonnet 5 measured
LMArena TextNot measured1442Only Claude Sonnet 5 measured
LMArena Text: instruction followingNot measured1452Only Claude Sonnet 5 measured
LMArena Text: creative writingNot measured1416Only Claude Sonnet 5 measured
LMArena VisionNot measured1273Only Claude Sonnet 5 measured
LMArena Text: EnglishNot measured1450Only Claude Sonnet 5 measured
LMArena Text: non-EnglishNot measured1431Only Claude Sonnet 5 measured
LMArena Text: ChineseNot measured1478Only Claude Sonnet 5 measured
LMArena Text: GermanNot measured1442Only Claude Sonnet 5 measured
LMArena Text: JapaneseNot measured1422Only Claude Sonnet 5 measured
LMArena Text: KoreanNot measured1412Only Claude Sonnet 5 measured
LMArena Text: FrenchNot measured1463Only Claude Sonnet 5 measured
LMArena Text: SpanishNot measured1438Only Claude Sonnet 5 measured
LMArena Text: RussianNot measured1450Only Claude Sonnet 5 measured
LMArena Text: PolishNot measured1425Only Claude Sonnet 5 measured
LMArena Text: multi-turnNot measured1453Only Claude Sonnet 5 measured
LMArena Text: longer queriesNot measured1462Only Claude Sonnet 5 measured
LMArena Text: writing and languageNot measured1436Only Claude Sonnet 5 measured
LMArena Text: entertainment and mediaNot measured1411Only Claude Sonnet 5 measured
LMArena Vision: EnglishNot measured1275Only Claude Sonnet 5 measured
LMArena Vision: ChineseNot measured1331Only Claude Sonnet 5 measured
LMArena Vision: reading textNot measured1288Only Claude Sonnet 5 measured
LMArena Vision: humorNot measured1261Only Claude Sonnet 5 measured
LMArena Vision: creative writingNot measured1246Only Claude Sonnet 5 measured
LMArena DocumentNot measured1466Only Claude Sonnet 5 measured
Neither model has a result on the other 13 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
Claude Sonnet 5$0.0070Fits in one request

UI-TARS 7B costs less

Repository review

50K input + 3K output tokens

UI-TARS 7B$0.0056Fits in one request
Claude Sonnet 5$0.130Fits in one request

UI-TARS 7B costs less

Agent loop

200K input + 10K output tokens

UI-TARS 7B$0.022Exceeds the context window
Claude Sonnet 5$0.500Fits in one request

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 Claude Sonnet 5
SpecificationByteDance UI-TARS 7BAnthropic Claude Sonnet 5
MakerByteDanceAnthropic
WeightsOpen weightsNo public weights listed
ReleasedJuly 22, 2025June 30, 2026
Context window128K1M
Input $/Mtok$0.10$2.00
Output $/Mtok$0.20$10.00
Coding indexNot benchmarked57.7
Independent measurements behind it06
Cost per solved taskNot computable$1.87
SourceOpenRouter listingOpenRouter listing

Questions

Is UI-TARS 7B better than Claude Sonnet 5 for coding?

Only Claude Sonnet 5 has a coding score, 57.7 on the Vibe Coding Index; UI-TARS 7B has none, so the two cannot be ranked on coding. Pick UI-TARS 7B for output tokens 50.0x cheaper ($0.20 vs $10.00 per million).

Which is cheaper, UI-TARS 7B or Claude Sonnet 5?

UI-TARS 7B costs $0.10 per million input tokens and $0.20 per million output tokens; Claude Sonnet 5 costs $2.00 and $10.00. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, UI-TARS 7B or Claude Sonnet 5?

Claude Sonnet 5, with 1M tokens against 128K.

Has any benchmark tested both UI-TARS 7B and Claude Sonnet 5?

No benchmark has tested both yet. UI-TARS 7B has results on Kagi LLM Benchmark; Claude Sonnet 5 on LiveBench coding, LMArena WebDev and AA Coding Index. Compare them on price and context instead. Data as of October 22, 2026.

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