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Qwen-Plus 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 Qwen-Plus and Saba.

Alibaba

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

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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

SpecificationQwen-PlusSaba
ProviderAlibabaMistral
Context Window1,000,000 tokens32,768 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-02-012025-02-17

API Pricing Comparison

Input Price per Million Tokens

Qwen-Plus

$0.26

Saba

$0.20

Output Price per Million Tokens

Qwen-Plus

$0.78

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
8100.0%vsN/A
Qwen-Plus
Saba
HumanEvalPython coding & logic synthesis
8250.0%vsN/A
Qwen-Plus
Saba
MATHComplex mathematical problem solving
5500.0%vsN/A
Qwen-Plus
Saba
GPQAGraduate-level expert reasoning
3700.0%vsN/A
Qwen-Plus
Saba
HellaSwagCommonsense reasoning and inference
8300.0%vsN/A
Qwen-Plus
Saba
MT-BenchMulti-turn conversation flow quality
865.0%vsN/A
Qwen-Plus
Saba

Qwen-Plus Quirks & Gotchas

No developer gotchas reported.

Saba Quirks & Gotchas

No developer gotchas reported.