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Grok 4.20 vs GLM 5.2

Detailed technical comparison between Grok 4.20 (xAI) and GLM 5.2 (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Grok 4.20: 6 WinsvsGLM 5.2: 0 Wins
Context Leader

Grok 4.20

2,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
xAIactive

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.

View Grok 4.20 Full Specs โ†’
Zhipu AIactive

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,...

View GLM 5.2 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGrok 4.20GLM 5.2
ProviderxAIZhipu AI
Context Window2,000,000 tokens๐Ÿ†1,048,576 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-05-052026-06-16

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

GLM 5.2

$0.80

Output Price per Million Tokens

Grok 4.20

$2.50

GLM 5.2

$2.52

๐Ÿ’ก Cost Ratio: GLM 5.2 is 1.6x cheaper per input token than Grok 4.20.

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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
94.7%vs89.5%+5.2% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2
HumanEvalPython coding & logic synthesis
97.0%vs91.2%+5.8% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2
MATHComplex mathematical problem solving
93.8%vs80.5%+13.3% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2
GPQAGraduate-level expert reasoning
84.9%vs53.5%+31.4% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
98.8%vs89.8%+9.0% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.7%vs9.3%+0.4% Grok 4.20
Grok 4.20 ๐Ÿ†
GLM 5.2

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

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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