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.

IBM

Granite 3.3 8B Base

IBM

Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 IBM's latest advancement in AI technology.

IBM

Granite 3.3 8B Base

IBM

2025-04-16

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

2 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
IBM

Granite 3.3 8B Base

Max Context:-
Parameters:8.2B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
+1.9%
61.6%
IBM

Granite 3.3 8B Base

general
59.7%
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Base

2024-04-01

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
IBM

Granite 3.3 8B Base

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
IBM

Granite 3.3 8B Base

Avg Score:0.0%
Providers:0