Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of tasks, it empowers developers and researchers to build innovative app…
Model details →Google: Gemma 2 9B vs Microsoft: Phi 4
Google: Gemma 2 9B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion parameters, it was trained on a…
Model details →Side-by-side comparison
| Capability | Google: Gemma 2 9B | Microsoft: Phi 4 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 16K | 🏆 Microsoft: Phi 4 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.03 | $0.07 | 🏆 Google: Gemma 2 9B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.09 | $0.14 | 🏆 Google: Gemma 2 9B |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 2 9B better than Microsoft: Phi 4?
Google: Gemma 2 9B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 2 9B and Microsoft: Phi 4?
Input: $0.03 vs $0.07 per 1M tokens. Output: $0.09 vs $0.14 per 1M tokens.
What context windows do Google: Gemma 2 9B and Microsoft: Phi 4 support?
Google: Gemma 2 9B supports up to 8K tokens. Microsoft: Phi 4 supports up to 16K tokens.
Do both Google: Gemma 2 9B and Microsoft: Phi 4 support tool calling?
Google: Gemma 2 9B: not advertised. Microsoft: Phi 4: not advertised.