Model Comparison

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

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. 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

Mistral Large 2

Mistral AI

2024-07-24

Alibaba

QwQ-32B

Alibaba

2025-03-05

7 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Large 2

Larger context
Max Context:256.0K
Parameters:123.0B
Alibaba

QwQ-32B

Max Context:-
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Mistral Large 2

math
+2.4%
93.0%
code
+18.4%
92.0%
roleplay
+13.2%
86.3%
general
+13.0%
83.4%
Alibaba

QwQ-32B

math
90.6%
code
73.6%
roleplay
73.1%
general
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

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Alibaba

QwQ-32B

0 providers
Mistral AI

Mistral Large 2

Avg Score:0.0%
Providers:2
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0