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GLM 5.3 FlashX Legal vs MiniMax M3.1 Flash

Detailed technical comparison between GLM 5.3 FlashX Legal (Zhipu AI) and MiniMax M3.1 Flash (MiniMax). 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 WinsvsMiniMax M3.1 Flash: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiniMax M3.1 Flash

$0.07 / 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 →
MiniMaxactive

MiniMax M3.1 Flash

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

View MiniMax M3.1 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGLM 5.3 FlashX LegalMiniMax M3.1 Flash
ProviderZhipu AIMiniMax
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 Date2026-11-022026-10-19

API Pricing Comparison

Input Price per Million Tokens

GLM 5.3 FlashX Legal

$0.37

MiniMax M3.1 Flash

$0.07

Output Price per Million Tokens

GLM 5.3 FlashX Legal

$1.25

MiniMax M3.1 Flash

$0.30

💡 Cost Ratio: MiniMax M3.1 Flash is 4.9x cheaper per input token than GLM 5.3 FlashX Legal.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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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%vs87.6%+15.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆
HumanEvalPython coding & logic synthesis
68.6%vs86.8%+18.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆
MATHComplex mathematical problem solving
41.8%vs68.0%+26.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆
GPQAGraduate-level expert reasoning
29.2%vs49.4%+20.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆
HellaSwagCommonsense reasoning and inference
76.4%vs88.6%+12.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆
MT-BenchMulti-turn conversation flow quality
7.9%vs9.1%+1.2% MiniMax M3.1 Flash
GLM 5.3 FlashX Legal
MiniMax M3.1 Flash 🏆

GLM 5.3 FlashX Legal Quirks & Gotchas

No developer gotchas reported.

MiniMax M3.1 Flash Quirks & Gotchas

No developer gotchas reported.

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