LLM Reference

Gemma 2 27B Instruct vs Phi-4 Mini Reasoning

Gemma 2 27B Instruct (2024) and Phi-4 Mini Reasoning (2026) are frontier reasoning models from Google DeepMind and Microsoft Research. Gemma 2 27B Instruct ships a 8k-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.

Phi-4 Mini Reasoning fits 16x more tokens; pick it for long-context work and Gemma 2 27B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalGemma 2 27B InstructPhi-4 Mini Reasoning
Best forprovider-routed productionreasoning-heavy apps
Decision fitClassification and JSON / Tool useLong context
Context window8k128k
Cheapest output$0.75/1M tokens-
Provider routes5 tracked0 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Gemma 2 27B Instruct when...
  • Gemma 2 27B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 2 27B Instruct uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 2 27B Instruct for Classification and JSON / Tool use.
Choose Phi-4 Mini Reasoning when...
  • Phi-4 Mini Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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 2 27B Instruct

$388

Cheapest tracked route/tier: Arcee AI

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 2 27B Instruct -> Phi-4 Mini Reasoning
  • No overlapping tracked provider route is sourced for Gemma 2 27B Instruct and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Phi-4 Mini Reasoning adds Reasoning in local capability data.
Phi-4 Mini Reasoning -> Gemma 2 27B Instruct
  • No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Gemma 2 27B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Gemma 2 27B Instruct adds Structured outputs in local capability data.

Specs

Specification
Released2024-06-272026-05-16
Context window8k128k
Parameters27B3.8B
ArchitectureDecoder Only-
LicenseGemmaMITOSI-approved
OpennessOpen weightsOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff-2025-02

Pricing and availability

Pricing attributeGemma 2 27B InstructPhi-4 Mini Reasoning
Input price$0.25/1M tokens-
Output price$0.75/1M tokens-
Providers-

Capabilities

CapabilityGemma 2 27B InstructPhi-4 Mini Reasoning
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Phi-4 Mini Reasoning and structured outputs: Gemma 2 27B Instruct. 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 27B Instruct has $0.25/1M input tokens and Phi-4 Mini Reasoning has no token price sourced yet. Provider availability is 5 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 2 27B Instruct when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini Reasoning when reasoning depth and larger context windows 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 2 27B Instruct or Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning supports 128k tokens, while Gemma 2 27B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemma 2 27B Instruct or Phi-4 Mini Reasoning open source?

Gemma 2 27B Instruct is listed under Gemma. Phi-4 Mini Reasoning is listed under MIT. 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 reasoning mode, Gemma 2 27B Instruct 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 structured outputs, Gemma 2 27B Instruct or Phi-4 Mini Reasoning?

Gemma 2 27B Instruct 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 27B Instruct and Phi-4 Mini Reasoning?

Gemma 2 27B Instruct is available on NVIDIA NIM, OpenRouter, Fireworks AI, Arcee AI, and Replicate API. 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.

When should I pick Gemma 2 27B Instruct over Phi-4 Mini Reasoning?

Phi-4 Mini Reasoning fits 16x more tokens; pick it for long-context work and Gemma 2 27B Instruct for tighter calls. If your workload also depends on provider fit, start with Gemma 2 27B Instruct; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Reasoning.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.