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 Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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 Small 2506

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 Small 2506

Max Context:-

Parameters:24.0B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:30.8%

Magistral Small 2506

+37.4%

Average Score:68.2%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

code

+16.7%

68.0%

general

56.9%

Magistral Small 2506

code

51.3%

general

+10.3%

67.2%

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 Small 2506

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 Small 2506

0 providers

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2

Magistral Small 2506

+37.4%

Avg Score:68.2%

Providers:0