Model Comparison

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

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Devstral Medium

Mistral AI

2025-07-10

2 years newer

Pricing Comparison

Cost per million tokens (USD)

Devstral Medium

Input:$0.40

Output:$2.00

GPT-3.5 Turbo

$0.40 cheaper

Input:$0.50

Output:$1.50

Performance Metrics

Context window and performance specifications

Devstral Medium

Larger context

Max Context:256.0K

GPT-3.5 Turbo

Max Context:20.5K

Performance comparison across key benchmark categories

Devstral Medium

general

+4.7%

61.6%

GPT-3.5 Turbo

general

56.9%

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Devstral Medium

Avg Score:0.0%

Providers:1

GPT-3.5 Turbo

Avg Score:0.0%

Providers:2