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Qwen3.7 Max 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 Qwen3.7 Max and Saba.

Alibaba

Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

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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

SpecificationQwen3.7 MaxSaba
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 Date2026-05-212025-02-17

API Pricing Comparison

Input Price per Million Tokens

Qwen3.7 Max

$1.25

Saba

$0.20

Output Price per Million Tokens

Qwen3.7 Max

$3.75

Saba

$0.60

Want to test both models live?

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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
9150.0%vsN/A
Qwen3.7 Max
Saba
HumanEvalPython coding & logic synthesis
9580.0%vsN/A
Qwen3.7 Max
Saba
MATHComplex mathematical problem solving
8820.0%vsN/A
Qwen3.7 Max
Saba
GPQAGraduate-level expert reasoning
6050.0%vsN/A
Qwen3.7 Max
Saba
HellaSwagCommonsense reasoning and inference
9100.0%vsN/A
Qwen3.7 Max
Saba
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Qwen3.7 Max
Saba

Qwen3.7 Max Quirks & Gotchas

No developer gotchas reported.

Saba Quirks & Gotchas

No developer gotchas reported.