Side-by-Side Comparison · 2026

Gemma vs Phi-4: Full Comparison (2026)

Gemma is google's lightweight open models - gemma 3 leads open-source benchmarks. Phi-4 is microsoft's small language models - phi-4 leads slm benchmarks. Use the breakdown below to find the right fit for your needs.

Gemma

Google DeepMind

Free
vs

Phi-4

Microsoft

Free
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
Gemma: FreePhi-4: Free
API Access
Gemma: Not availablePhi-4: Not available
Platforms
Gemma: WebPhi-4: Web
Integrations
Gemma: —Phi-4: —
Vendor
Gemma: Google DeepMindPhi-4: Microsoft
Category
Gemma: Language ModelsPhi-4: Language Models
Launch
Gemma: —Phi-4: —
Models
Gemma: Gemma 3 27B, Gemma 3 12BPhi-4: Phi-4 (14B), Phi-4-mini (3.8B)

About Gemma

Gemma 3 (released Mar 2025) is Google DeepMind's family of open-source models available in 1B, 4B, 12B, and 27B parameter sizes. The 27B model leads open-source benchmarks outperforming Llama 3.3 70B at half the size. Features 128K context and multimodal support.

Designed For

  • Local AI deployment
  • Fine-tuning
  • Research
  • Edge devices
Full Gemma details

About Phi-4

Phi-4 (Dec 2024) is Microsoft's latest small language model at 14B parameters, surpassing GPT-4o mini and Gemini 1.5 Pro on STEM and reasoning benchmarks. Phi-4-mini (3.8B) and Phi-4-multimodal add vision and audio capabilities. Phi-4-reasoning (May 2025) adds chain-of-thought.

Designed For

  • On-device AI
  • Mobile apps
  • Low-latency inference
  • Cost-efficient deployment
Full Phi-4 details

Strengths & Limitations

Gemma

Strengths

  • Runs on consumer hardware
  • Open weights
  • Gemma 3 27B beats 70B models
  • 128K context
  • Multimodal (image input)

Limitations

  • Smaller capability ceiling vs frontier models
  • No official fine-tuning SLAs

Phi-4

Strengths

  • Phi-4 14B beats much larger models on STEM
  • Open weights (MIT license)
  • Multimodal support
  • Reasoning model available
  • Runs on consumer hardware

Limitations

  • Limited for very long documents
  • Less well-known outside enterprise

Frequently Asked Questions

What is the difference between Gemma and Phi-4?

Gemma is google's lightweight open models - gemma 3 leads open-source benchmarks, while Phi-4 is microsoft's small language models - phi-4 leads slm benchmarks. Gemma is designed for Language Models; Phi-4 is designed for Language Models. The right fit depends on your specific requirements.

How do the pricing models compare?

Gemma is available under a Free model. Phi-4 is available under a Free model. Always verify pricing on each vendor's official website as it may change.

How do I choose between Gemma and Phi-4?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.