Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Devstral Small 1.1

Mistral AI

Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

2025-03-05

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

4 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Small 1.1

Larger context
Max Context:256.0K
Parameters:24.0B
Alibaba

QwQ-32B

Max Context:-
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Devstral Small 1.1

general
53.6%
Alibaba

QwQ-32B

general
+16.8%
70.4%
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Alibaba

QwQ-32B

0 providers
Mistral AI

Devstral Small 1.1

Avg Score:0.0%
Providers:1
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0