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GPT-3.5 Turbo (older v0613) vs GLM 5.2

Detailed technical comparison between GPT-3.5 Turbo (older v0613) (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 (older v0613): 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

GLM 5.2

$0.80 / MTok
OpenAIactive

GPT-3.5 Turbo (older v0613)

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 (older v0613) 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 Turbo (older v0613)GLM 5.2
ProviderOpenAIZhipu AI
Context Window4,095 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 Date2024-01-252026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-3.5 Turbo (older v0613)

$1.00

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-3.5 Turbo (older v0613)

$2.00

GLM 5.2

$2.52

💡 Cost Ratio: GLM 5.2 is 1.2x cheaper per input token than GPT-3.5 Turbo (older v0613).

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
81.2%vs89.5%+8.3% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
79.4%vs91.2%+11.8% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆
MATHComplex mathematical problem solving
56.6%vs80.5%+23.9% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
38.6%vs53.5%+14.9% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
80.8%vs89.8%+9.0% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.3%vs9.3%+1.0% GLM 5.2
GPT-3.5 Turbo (older v0613)
GLM 5.2 🏆

GPT-3.5 Turbo (older v0613) Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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