Model Comparison

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

Mistral AI

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

Alibaba

QwQ-32B

Alibaba

2025-03-05

4 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B
Alibaba

QwQ-32B

Max Context:-
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Ministral 8B Instruct

math
54.5%
roleplay
+9.9%
83.0%
code
51.0%
general
64.7%
Alibaba

QwQ-32B

math
+36.1%
90.6%
roleplay
73.1%
code
+22.6%
73.6%
general
+5.6%
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

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Alibaba

QwQ-32B

0 providers
Mistral AI

Ministral 8B Instruct

Avg Score:0.0%
Providers:1
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0