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GLM 5V 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 5V Turbo and o1.

Zhipu AI

GLM 5V Turbo

GLM-5V-Turbo is Z.aiโ€™s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

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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 5V Turboo1
ProviderZhipu AIOpenAI
Context Window202,752 tokens200,000 tokens
Agent SuitabilityN/A88/100
Time to First Token (TTFT)N/A2500 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-012024-12-17

API Pricing Comparison

Input Price per Million Tokens

GLM 5V Turbo

$1.20

o1

$15.00

Output Price per Million Tokens

GLM 5V 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
N/Avs9180.0%
GLM 5V Turbo
o1
HumanEvalPython coding & logic synthesis
N/Avs9450.0%
GLM 5V Turbo
o1
MATHComplex mathematical problem solving
N/Avs9480.0%
GLM 5V Turbo
o1
GPQAGraduate-level expert reasoning
N/Avs7830.0%
GLM 5V Turbo
o1
HellaSwagCommonsense reasoning and inference
N/Avs9200.0%
GLM 5V Turbo
o1
MT-BenchMulti-turn conversation flow quality
N/Avs940.0%
GLM 5V Turbo
o1

GLM 5V 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