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GLM 5.3 FlashX Legal vs Hy4

Detailed technical comparison between GLM 5.3 FlashX Legal (Zhipu AI) and Hy4 (Tencent). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GLM 5.3 FlashX Legal: 0 WinsvsHy4: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.3 FlashX Legal

$0.37 / MTok
Zhipu AIactive

GLM 5.3 FlashX Legal

GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text. It adds legal-domain mid-training and post-training with reinforcement...

View GLM 5.3 FlashX Legal Full Specs →
Tencentactive

Hy4

The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...

View Hy4 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGLM 5.3 FlashX LegalHy4
ProviderZhipu AITencent
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-11-022026-11-04

API Pricing Comparison

Input Price per Million Tokens

GLM 5.3 FlashX Legal

$0.37

Hy4

$0.42

Output Price per Million Tokens

GLM 5.3 FlashX Legal

$1.25

Hy4

$1.25

💡 Cost Ratio: GLM 5.3 FlashX Legal is 1.1x cheaper per input token than Hy4.

Want to test both models live?

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
72.4%vs79.6%+7.2% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆
HumanEvalPython coding & logic synthesis
68.6%vs77.8%+9.2% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆
MATHComplex mathematical problem solving
41.8%vs55.0%+13.2% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆
GPQAGraduate-level expert reasoning
29.2%vs40.4%+11.2% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆
HellaSwagCommonsense reasoning and inference
76.4%vs82.6%+6.2% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆
MT-BenchMulti-turn conversation flow quality
7.9%vs8.5%+0.6% Hy4
GLM 5.3 FlashX Legal
Hy4 🏆

GLM 5.3 FlashX Legal Quirks & Gotchas

No developer gotchas reported.

Hy4 Quirks & Gotchas

No developer gotchas reported.

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