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GLM 5.2 vs GLM 4.7 Flash

Detailed technical comparison between GLM 5.2 (Zhipu AI) and GLM 4.7 Flash (Zhipu AI). 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 5.2: 6 WinsvsGLM 4.7 Flash: 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 4.7 Flash

$0.06 / MTok
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 →
Zhipu AIactive

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View GLM 4.7 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGLM 5.2GLM 4.7 Flash
ProviderZhipu AIZhipu AI
Context Window1,048,576 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-162026-01-19

API Pricing Comparison

Input Price per Million Tokens

GLM 5.2

$0.80

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GLM 5.2

$2.50

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 13.3x cheaper per input token than GLM 5.2.

Want to test both models live?

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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
89.5%vs77.2%+12.3% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
91.2%vs78.5%+12.7% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
80.5%vs40.0%+40.5% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
53.5%vs31.0%+22.5% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
89.8%vs80.0%+9.8% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.3%vs8.1%+1.2% GLM 5.2
GLM 5.2 🏆
GLM 4.7 Flash

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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