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GLM 4.6V vs UI-TARS 7B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.6V and UI-TARS 7B.

Zhipu AI

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

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ByteDance

UI-TARS 7B

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

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Technical Specifications

SpecificationGLM 4.6VUI-TARS 7B
ProviderZhipu AIByteDance
Context Window131,072 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-082025-07-22

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6V

$0.30

UI-TARS 7B

$0.10

Output Price per Million Tokens

GLM 4.6V

$0.90

UI-TARS 7B

$0.20

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs7350.0%
GLM 4.6V
UI-TARS 7B
HumanEvalPython coding & logic synthesis
N/Avs8020.0%
GLM 4.6V
UI-TARS 7B
MATHComplex mathematical problem solving
N/Avs4050.0%
GLM 4.6V
UI-TARS 7B
GPQAGraduate-level expert reasoning
N/Avs3000.0%
GLM 4.6V
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
N/Avs7800.0%
GLM 4.6V
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
N/Avs805.0%
GLM 4.6V
UI-TARS 7B

GLM 4.6V Quirks & Gotchas

No developer gotchas reported.

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.