Model Comparison

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

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

8 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 1 common benchmarks

Mistral AI

Magistral Medium

+18.9%
Average Score:50.3%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:31.4%

Performance comparison across key benchmark categories

Mistral AI

Magistral Medium

general
53.1%
code
50.3%
Alibaba

Qwen2.5-Coder 32B Instruct

general
+8.4%
61.5%
code
+7.9%
58.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Magistral Medium

0 providers
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Mistral AI

Magistral Medium

+18.9%
Avg Score:50.3%
Providers:0
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:31.4%
Providers:4