Model Comparison

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

Mistral AI

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.

OpenAI

o1-pro

OpenAI

o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1-pro

OpenAI

2024-12-17

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

6 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
OpenAI

o1-pro

Max Context:-

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
OpenAI

o1-pro

general
+20.9%
82.5%
Knowledge Cutoff
Training data recency comparison

o1-pro

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
OpenAI

o1-pro

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
OpenAI

o1-pro

Avg Score:0.0%
Providers:0