LLM Reference

Gemma 4 12B IT vs Phi-4 14B

Gemma 4 12B IT (2026) and Phi-4 14B (2024) are frontier reasoning models from Google DeepMind and Microsoft Research. Gemma 4 12B IT ships a 256k-token context window, while Phi-4 14B ships a 16k-token context window. On Google-Proof Q&A, Gemma 4 12B IT leads by 22.7 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Gemma 4 12B IT fits 16x more tokens; pick it for long-context work and Phi-4 14B for tighter calls.

Decision scorecard

Local evidence first
SignalGemma 4 12B ITPhi-4 14B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsprovider-routed production
Decision fitCoding, RAG, and AgentsClassification and JSON / Tool use
Context window256k16k
Cheapest output-$0.14/1M tokens
Provider routes2 tracked3 tracked
Shared benchmarksGoogle-Proof Q&A leader1 rows

Decision tradeoffs

Choose Gemma 4 12B IT when...
  • Gemma 4 12B IT leads the largest shared benchmark signal on Google-Proof Q&A by 22.7 points.
  • Gemma 4 12B IT has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 12B IT uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Gemma 4 12B IT for Coding, RAG, and Agents.
Choose Phi-4 14B when...
  • Phi-4 14B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Phi-4 14B for Classification and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Gemma 4 12B IT

Unavailable

No complete token price in local provider data

Phi-4 14B

$87.00

Cheapest tracked route/tier: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemma 4 12B IT -> Phi-4 14B
  • No overlapping tracked provider route is sourced for Gemma 4 12B IT and Phi-4 14B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Phi-4 14B -> Gemma 4 12B IT
  • No overlapping tracked provider route is sourced for Phi-4 14B and Gemma 4 12B IT; plan for SDK, billing, or endpoint changes.
  • Gemma 4 12B IT adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-06-032024-12-13
Context window256k16k
Parameters11.9B14B
Architectureencoder free unified multimodaldecoder only
LicenseApache 2.0Open Source
Knowledge cutoff2025-012024-06

Pricing and availability

Pricing attributeGemma 4 12B ITPhi-4 14B
Input price-$0.07/1M tokens
Output price-$0.14/1M tokens
Providers

Capabilities

CapabilityGemma 4 12B ITPhi-4 14B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemma 4 12B ITPhi-4 14B
Google-Proof Q&A78.856.1

Deep dive

On shared benchmark coverage, Google-Proof Q&A has Gemma 4 12B IT at 78.8 and Phi-4 14B at 56.1, with Gemma 4 12B IT ahead by 22.7 points. The largest visible gap is 22.7 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Gemma 4 12B IT, multimodal input: Gemma 4 12B IT, reasoning mode: Gemma 4 12B IT, function calling: Gemma 4 12B IT, and tool use: Gemma 4 12B IT. Both models share structured outputs, 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 4 12B IT has no token price sourced yet and Phi-4 14B has $0.07/1M input tokens. Provider availability is 2 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 4 12B IT when reasoning depth and larger context windows 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.

FAQ

Which has a larger context window, Gemma 4 12B IT or Phi-4 14B?

Gemma 4 12B IT supports 256k tokens, while Phi-4 14B supports 16k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemma 4 12B IT or Phi-4 14B open source?

Gemma 4 12B IT is listed under Apache 2.0. 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 vision, Gemma 4 12B IT or Phi-4 14B?

Gemma 4 12B IT has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Gemma 4 12B IT or Phi-4 14B?

Gemma 4 12B IT has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Gemma 4 12B IT or Phi-4 14B?

Gemma 4 12B IT has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemma 4 12B IT and Phi-4 14B?

Gemma 4 12B IT is available on Hugging Face Inference Endpoints and Kaggle Models. Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.