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.

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

xAI

Grok-4 Heavy

xAI

2025-07-09

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

1 days newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
xAI

Grok-4 Heavy

Max Context:-

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
xAI

Grok-4 Heavy

general
+17.9%
79.5%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

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
xAI

Grok-4 Heavy

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0