Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 38.0% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
3 months newer

Gemma 3 4B
2025-03-12

Magistral Small 2506
Mistral AI
2025-06-10
Context window and performance specifications
Average performance across 2 common benchmarks

Gemma 3 4B

Magistral Small 2506
Gemma 3 4B
2024-08-01
Magistral Small 2506
2025-06-01
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Magistral Small 2506

Gemma 3 4B

Magistral Small 2506

Gemma 3 4B

Magistral Small 2506