Comprehensive side-by-side LLM comparison
Phi 4 leads with 15.0% higher average benchmark score. Pixtral-12B offers 104.2K more tokens in context window than Phi 4. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
Mistral AI
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
2 months newer

Pixtral-12B
Mistral AI
2024-09-17

Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)

Phi 4

Pixtral-12B
Context window and performance specifications
Average performance across 4 common benchmarks

Phi 4

Pixtral-12B
Phi 4
2024-06-01
Available providers and their performance metrics

Phi 4
DeepInfra

Pixtral-12B

Phi 4

Pixtral-12B

Phi 4

Pixtral-12B
Mistral AI