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GLM 4.7 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 4.7 and Saba.

Zhipu AI

GLM 4.7

GLM-4.7 is Z.aiโ€™s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

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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 4.7Saba
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 Date2025-12-222025-02-17

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7

$0.40

Saba

$0.20

Output Price per Million Tokens

GLM 4.7

$1.75

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
8150.0%vsN/A
GLM 4.7
Saba
HumanEvalPython coding & logic synthesis
8200.0%vsN/A
GLM 4.7
Saba
MATHComplex mathematical problem solving
5150.0%vsN/A
GLM 4.7
Saba
GPQAGraduate-level expert reasoning
3800.0%vsN/A
GLM 4.7
Saba
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
GLM 4.7
Saba
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
GLM 4.7
Saba

GLM 4.7 Quirks & Gotchas

No developer gotchas reported.

Saba Quirks & Gotchas

No developer gotchas reported.