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GLM 5.2 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 5.2 and Saba.

Zhipu AI

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

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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 5.2Saba
ProviderZhipu AIMistral
Context Window1,048,576 tokens32,768 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-162025-02-17

API Pricing Comparison

Input Price per Million Tokens

GLM 5.2

$0.93

Saba

$0.20

Output Price per Million Tokens

GLM 5.2

$3.00

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
8950.0%vsN/A
GLM 5.2
Saba
HumanEvalPython coding & logic synthesis
9120.0%vsN/A
GLM 5.2
Saba
MATHComplex mathematical problem solving
8050.0%vsN/A
GLM 5.2
Saba
GPQAGraduate-level expert reasoning
5350.0%vsN/A
GLM 5.2
Saba
HellaSwagCommonsense reasoning and inference
8980.0%vsN/A
GLM 5.2
Saba
MT-BenchMulti-turn conversation flow quality
930.0%vsN/A
GLM 5.2
Saba

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

Saba Quirks & Gotchas

No developer gotchas reported.