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GLM 5.1 vs Saba

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 Saba.

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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Mistral

Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

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Technical Specifications

SpecificationGLM 5.1Saba
ProviderZhipu AIMistral
Context Window202,752 tokens32,768 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-072025-02-17

API Pricing Comparison

Input Price per Million Tokens

GLM 5.1

$0.97

Saba

$0.20

Output Price per Million Tokens

GLM 5.1

$3.04

Saba

$0.60

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%vsN/A
GLM 5.1
Saba
HumanEvalPython coding & logic synthesis
8950.0%vsN/A
GLM 5.1
Saba
MATHComplex mathematical problem solving
7700.0%vsN/A
GLM 5.1
Saba
GPQAGraduate-level expert reasoning
5100.0%vsN/A
GLM 5.1
Saba
HellaSwagCommonsense reasoning and inference
8850.0%vsN/A
GLM 5.1
Saba
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
GLM 5.1
Saba

GLM 5.1 Quirks & Gotchas

No developer gotchas reported.

Saba Quirks & Gotchas

No developer gotchas reported.