Gemma
Google DeepMind
FreePhi-4
Microsoft
FreeGemma 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.
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
FreeAPI Access
Gemma
Not availablePhi-4
Not availablePlatforms
Gemma
WebPhi-4
WebIntegrations
Gemma
—Phi-4
—Vendor
Gemma
Google DeepMindPhi-4
MicrosoftCategory
Gemma
Language ModelsPhi-4
Language ModelsLaunch
Gemma
—Phi-4
—Models
Gemma
Gemma 3 27B, Gemma 3 12BPhi-4
Phi-4 (14B), Phi-4-mini (3.8B)| Feature | Gemma | Phi-4 |
|---|---|---|
| Pricing Model | Free | Free |
| API Access | Not available | Not available |
| Platforms | Web | Web |
| Integrations | — | — |
| Vendor | Google DeepMind | Microsoft |
| Category | Language Models | Language Models |
| Launch | — | — |
| Models | Gemma 3 27B, Gemma 3 12B | 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
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
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.
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.