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.

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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

Gemma 3n E2B

Google

2025-06-26

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

14 days newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
Google

Gemma 3n E2B

Max Context:-
Parameters:8.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
+7.5%
61.6%
Google

Gemma 3n E2B

general
54.1%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

2024-06-01

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
Google

Gemma 3n E2B

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0