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GLM 5.2 vs Grok 4.20

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 5.2 and Grok 4.20.

Zhipu AI

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

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xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Technical Specifications

SpecificationGLM 5.2Grok 4.20
ProviderZhipu AIxAI
Context Window1,048,576 tokens2,000,000 tokens
Agent SuitabilityN/A90/100
Time to First Token (TTFT)N/A350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-162026-05-05

API Pricing Comparison

Input Price per Million Tokens

GLM 5.2

$0.93

Grok 4.20

$1.25

Output Price per Million Tokens

GLM 5.2

$3.00

Grok 4.20

$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
8950.0%vs9470.0%
GLM 5.2
Grok 4.20
HumanEvalPython coding & logic synthesis
9120.0%vs9700.0%
GLM 5.2
Grok 4.20
MATHComplex mathematical problem solving
8050.0%vs9380.0%
GLM 5.2
Grok 4.20
GPQAGraduate-level expert reasoning
5350.0%vs8490.0%
GLM 5.2
Grok 4.20
HellaSwagCommonsense reasoning and inference
8980.0%vs9880.0%
GLM 5.2
Grok 4.20
MT-BenchMulti-turn conversation flow quality
930.0%vs970.0%
GLM 5.2
Grok 4.20

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use