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Gemma 2 2B vs Phi-4 14B

Gemma 2 2B (2024) and Phi-4 14B (2024) are general-purpose language models from Google DeepMind and Microsoft Research. Gemma 2 2B ships a not-yet-sourced context window, while Phi-4 14B ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Phi-4 14B is safer overall; choose Gemma 2 2B when provider fit matters.

Specs

Released2024-07-312024-12-13
Context window
Parameters2B14B
Architecturedecoder onlydecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff--

Pricing and availability

Gemma 2 2BPhi-4 14B
Input price-$0.07/1M tokens
Output price-$0.14/1M tokens
Providers-

Capabilities

Gemma 2 2BPhi-4 14B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Phi-4 14B. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Gemma 2 2B has no token price sourced yet and Phi-4 14B has $0.07/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 2 2B when provider fit are central to the workload. Choose Phi-4 14B when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is Gemma 2 2B or Phi-4 14B open source?

Gemma 2 2B is listed under Open Source. Phi-4 14B is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for structured outputs, Gemma 2 2B or Phi-4 14B?

Phi-4 14B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemma 2 2B and Phi-4 14B?

Gemma 2 2B is available on the tracked providers still being sourced. Phi-4 14B is available on OpenRouter and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 2 2B over Phi-4 14B?

Phi-4 14B is safer overall; choose Gemma 2 2B when provider fit matters. If your workload also depends on provider fit, start with Gemma 2 2B; if it depends on provider fit, run the same evaluation with Phi-4 14B.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.