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Grok 4.3 vs GLM 5.2

Detailed technical comparison between Grok 4.3 (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 4.3: 6 WinsvsGLM 5.2: 0 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
xAIactive

Grok 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

View Grok 4.3 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 4.3GLM 5.2
ProviderxAIZhipu AI
Context Window1,000,000 tokens1,048,576 tokens๐Ÿ†
Agent Suitability87/100N/A
Time to First Token (TTFT)400 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-302026-06-16

API Pricing Comparison

Input Price per Million Tokens

Grok 4.3

$1.25

GLM 5.2

$0.80

Output Price per Million Tokens

Grok 4.3

$2.50

GLM 5.2

$2.50

๐Ÿ’ก Cost Ratio: GLM 5.2 is 1.6x cheaper per input token than Grok 4.3.

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
92.4%vs89.5%+2.9% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2
HumanEvalPython coding & logic synthesis
94.5%vs91.2%+3.3% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2
MATHComplex mathematical problem solving
91.0%vs80.5%+10.5% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2
GPQAGraduate-level expert reasoning
81.0%vs53.5%+27.5% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
97.5%vs89.8%+7.7% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.4%vs9.3%+0.1% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 5.2

Grok 4.3 Quirks & Gotchas

  • โ–ธStrong coding performance โ€” competitive with Claude Sonnet at similar price point
  • โ–ธUpgrade to Grok 4.20 for improved reasoning and tool calling

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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