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GLM 5.1 vs R1

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 5.1 and R1.

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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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationGLM 5.1R1
ProviderZhipu AIDeepSeek
Context Window202,752 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-072025-01-20

API Pricing Comparison

Input Price per Million Tokens

GLM 5.1

$0.97

R1

$0.70

Output Price per Million Tokens

GLM 5.1

$3.04

R1

$2.50

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
8800.0%vs9080.0%
GLM 5.1
R1
HumanEvalPython coding & logic synthesis
8950.0%vs9280.0%
GLM 5.1
R1
MATHComplex mathematical problem solving
7700.0%vs9310.0%
GLM 5.1
R1
GPQAGraduate-level expert reasoning
5100.0%vs6210.0%
GLM 5.1
R1
HellaSwagCommonsense reasoning and inference
8850.0%vs9050.0%
GLM 5.1
R1
MT-BenchMulti-turn conversation flow quality
920.0%vs935.0%
GLM 5.1
R1

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.

R1 Quirks & Gotchas

No developer gotchas reported.