LLM Reference

Gemma 4 E2B vs Phi-4 Mini Reasoning

Gemma 4 E2B (2026) and Phi-4 Mini Reasoning (2026) are frontier reasoning models from Google DeepMind and Microsoft Research. Gemma 4 E2B ships a 128k-token context window, while Phi-4 Mini Reasoning ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Phi-4 Mini Reasoning is safer overall; choose Gemma 4 E2B when provider fit matters.

Decision scorecard

Local evidence first
SignalGemma 4 E2BPhi-4 Mini Reasoning
Best formultimodal apps and tool-calling agentsreasoning-heavy apps
Decision fitRAG, Agents, and Long contextLong context
Context window128k128k
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 4 E2B when...
  • Gemma 4 E2B has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 4 E2B uniquely exposes Multimodal and Function calling in local model data.
  • Local decision data tags Gemma 4 E2B for RAG, Agents, and Long context.
Choose Phi-4 Mini Reasoning when...
  • Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
  • Local decision data tags Phi-4 Mini Reasoning for Long context.

Monthly cost at traffic

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

Gemma 4 E2B

Unavailable

No complete token price in local provider data

Phi-4 Mini Reasoning

Unavailable

No complete token price in local provider data

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

Switch friction

Gemma 4 E2B -> Phi-4 Mini Reasoning
  • No overlapping tracked provider route is sourced for Gemma 4 E2B and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal and Function calling before moving production traffic.
  • Phi-4 Mini Reasoning adds Reasoning in local capability data.
Phi-4 Mini Reasoning -> Gemma 4 E2B
  • No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Gemma 4 E2B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Gemma 4 E2B adds Multimodal and Function calling in local capability data.

Specs

Specification
Released2026-03-312026-05-16
Context window128k128k
Parameters2B3.8B
Architecture--
LicenseOpen SourceProprietary
Knowledge cutoff2025-012025-02

Pricing and availability

Pricing attributeGemma 4 E2BPhi-4 Mini Reasoning
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityGemma 4 E2BPhi-4 Mini Reasoning
VisionNoNo
MultimodalYesNo
ReasoningNoYes
Function callingYesNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Gemma 4 E2B, reasoning mode: Phi-4 Mini Reasoning, and function calling: Gemma 4 E2B. 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 4 E2B has no token price sourced yet and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 4 E2B when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini Reasoning when reasoning depth 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.

FAQ

Which has a larger context window, Gemma 4 E2B or Phi-4 Mini Reasoning?

Gemma 4 E2B supports 128k tokens, while Phi-4 Mini Reasoning supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemma 4 E2B or Phi-4 Mini Reasoning open source?

Gemma 4 E2B is listed under Open Source. Phi-4 Mini Reasoning is listed under Proprietary. 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 multimodal input, Gemma 4 E2B or Phi-4 Mini Reasoning?

Gemma 4 E2B 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 E2B or Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning 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.

Which is better for function calling, Gemma 4 E2B or Phi-4 Mini Reasoning?

Gemma 4 E2B has the clearer documented function calling signal in this comparison. If function calling 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 E2B and Phi-4 Mini Reasoning?

Gemma 4 E2B is available on GCP Vertex AI. Phi-4 Mini Reasoning is available on the tracked providers still being sourced. 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.