Model Comparison

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

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Magistral Medium

Mistral AI

2025-06-10

2 years newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Magistral Medium

Max Context:-

Parameters:24.0B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:30.8%

Magistral Medium

+40.0%

Average Score:70.8%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

code

+17.7%

68.0%

general

+3.9%

56.9%

Magistral Medium

code

50.3%

general

53.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

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

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Magistral Medium

0 providers

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2

Magistral Medium

+40.0%

Avg Score:70.8%

Providers:0