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GLM 5 Turbo vs o1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 5 Turbo and o1.

Zhipu AI

GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

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OpenAI

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

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Technical Specifications

SpecificationGLM 5 Turboo1
ProviderZhipu AIOpenAI
Context Window262,144 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-152024-12-17

API Pricing Comparison

Input Price per Million Tokens

GLM 5 Turbo

$1.20

o1

$15.00

Output Price per Million Tokens

GLM 5 Turbo

$4.00

o1

$60.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8300.0%vs9180.0%
GLM 5 Turbo
o1
HumanEvalPython coding & logic synthesis
8450.0%vs9450.0%
GLM 5 Turbo
o1
MATHComplex mathematical problem solving
5800.0%vs9480.0%
GLM 5 Turbo
o1
GPQAGraduate-level expert reasoning
4000.0%vs7830.0%
GLM 5 Turbo
o1
HellaSwagCommonsense reasoning and inference
8450.0%vs9200.0%
GLM 5 Turbo
o1
MT-BenchMulti-turn conversation flow quality
880.0%vs940.0%
GLM 5 Turbo
o1

GLM 5 Turbo Quirks & Gotchas

No developer gotchas reported.

o1 Quirks & Gotchas

  • โ–ธReasoning model โ€” high latency by design, not for real-time use
  • โ–ธBest for complex math/code reasoning where accuracy > speed
  • โ–ธUse o3-mini when you need reasoning with lower latency