Model Comparison

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

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.

Mistral AI

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

Google

MedGemma 4B IT

Google

2025-05-20

6 months newer

Performance Metrics

Context window and performance specifications

Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B
Mistral AI

Pixtral Large

Larger context
Max Context:256.0K
Parameters:124.0B

Performance comparison across key benchmark categories

Google

MedGemma 4B IT

general
59.5%
vision
56.1%
Mistral AI

Pixtral Large

general
+31.5%
91.0%
vision
+23.3%
79.4%

Provider Availability & Performance

Available providers and their performance metrics

Google

MedGemma 4B IT

0 providers
Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1