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GLM 4.6 vs GLM 5.1

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 4.6 and GLM 5.1.

Zhipu AI

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

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Zhipu AI

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

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Technical Specifications

SpecificationGLM 4.6GLM 5.1
ProviderZhipu AIZhipu AI
Context Window202,752 tokens202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-302026-04-07

API Pricing Comparison

Input Price per Million Tokens

GLM 4.6

$0.43

GLM 5.1

$0.97

Output Price per Million Tokens

GLM 4.6

$1.74

GLM 5.1

$3.04

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/Avs8800.0%
GLM 4.6
GLM 5.1
HumanEvalPython coding & logic synthesis
N/Avs8950.0%
GLM 4.6
GLM 5.1
MATHComplex mathematical problem solving
N/Avs7700.0%
GLM 4.6
GLM 5.1
GPQAGraduate-level expert reasoning
N/Avs5100.0%
GLM 4.6
GLM 5.1
HellaSwagCommonsense reasoning and inference
N/Avs8850.0%
GLM 4.6
GLM 5.1
MT-BenchMulti-turn conversation flow quality
N/Avs920.0%
GLM 4.6
GLM 5.1

GLM 4.6 Quirks & Gotchas

No developer gotchas reported.

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.