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GPT-3.5 Turbo vs GLM 5.2

Detailed technical comparison between GPT-3.5 Turbo (OpenAI) 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.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-3.5 Turbo: 0 WinsvsGLM 5.2: 6 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

GPT-3.5 Turbo

$0.50 / MTok
OpenAIactive

GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

View GPT-3.5 Turbo Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-3.5 TurboGLM 5.2
ProviderOpenAIZhipu AI
Context Window16,385 tokens1,048,576 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2023-05-282026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-3.5 Turbo

$0.50

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-3.5 Turbo

$1.50

GLM 5.2

$2.50

💡 Cost Ratio: GPT-3.5 Turbo is 1.6x cheaper per input token than GLM 5.2.

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.

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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
79.4%vs89.5%+10.1% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
77.6%vs91.2%+13.6% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆
MATHComplex mathematical problem solving
54.8%vs80.5%+25.7% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
40.2%vs53.5%+13.3% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
82.4%vs89.8%+7.4% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.5%vs9.3%+0.8% GLM 5.2
GPT-3.5 Turbo
GLM 5.2 🏆

GPT-3.5 Turbo Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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