← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 4.7 vs Grok 4.20 Multi-Agent

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 4.7 and Grok 4.20 Multi-Agent.

Zhipu AI

GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

View Full Specs
xAI

Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

View Full Specs

Technical Specifications

SpecificationGLM 4.7Grok 4.20 Multi-Agent
ProviderZhipu AIxAI
Context Window202,752 tokens2,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-222026-03-31

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Grok 4.20 Multi-Agent

$1.25

Output Price per Million Tokens

GLM 4.7

$1.75

Grok 4.20 Multi-Agent

$2.50

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
8150.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Grok 4.20 Multi-Agent

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Grok 4.20 Multi-Agent Quirks & Gotchas

No developer gotchas reported.