Model Comparison

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

Mistral AI

Devstral Small 1.1

Mistral AI

Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

MedGemma 4B IT

Google

2025-05-20

Mistral AI

Devstral Small 1.1

Mistral AI

2025-07-11

1 month newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Small 1.1

Larger context
Max Context:256.0K
Parameters:24.0B
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

Mistral AI

Devstral Small 1.1

general
53.6%
Google

MedGemma 4B IT

general
+5.9%
59.5%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Small 1.1

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Google

MedGemma 4B IT

0 providers
Mistral AI

Devstral Small 1.1

Avg Score:0.0%
Providers:1
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0