LLM Reference

Gemma 3 vs Phi-4 14B

Gemma 3 (2025) and Phi-4 14B (2024) are compact production models from Google DeepMind and Microsoft Research. Gemma 3 ships a not-yet-sourced context window, while Phi-4 14B ships a 16k-token context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.07/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemma 3 is ~63% cheaper at $0.04/1M; pay for Phi-4 14B only for provider fit.

Decision scorecard

Local evidence first
SignalGemma 3Phi-4 14B
Best forprovider-routed productionprovider-routed production
Decision fitClassification and JSON / Tool useClassification and JSON / Tool use
Context window16k
Cheapest output$0.08/1M tokens$0.14/1M tokens
Provider routes3 tracked3 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Gemma 3 when...
  • Gemma 3 has the lower cheapest tracked output price at $0.08/1M tokens.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Phi-4 14B when...
  • Phi-4 14B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.

Lower estimate Gemma 3

Gemma 3

$52.00

Cheapest tracked route/tier: OpenRouter

Phi-4 14B

$87.00

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $35.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Phi-4 14B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Phi-4 14B is $0.06/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Phi-4 14B -> Gemma 3
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemma 3 is $0.06/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2025-03-122024-12-13
Context window16k
Parameters14B
ArchitectureDecoder OnlyDecoder Only
LicenseGemmaMITOSI-approved
OpennessOpen weightsOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-012024-06

Pricing and availability

Pricing attributeGemma 3Phi-4 14B
Input price$0.04/1M tokens$0.07/1M tokens
Output price$0.08/1M tokens$0.14/1M tokens
Providers

Capabilities

CapabilityGemma 3Phi-4 14B
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens on the cheapest tracked provider, while Phi-4 14B lists $0.07/1M input and $0.14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.04 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.

Choose Gemma 3 when provider fit and lower input-token cost are central to the workload. Choose Phi-4 14B when provider fit 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

Which is cheaper, Gemma 3 or Phi-4 14B?

Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Phi-4 14B costs $0.07/1M input and $0.14/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 or Phi-4 14B open source?

Gemma 3 is listed under Gemma. Phi-4 14B 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 structured outputs, Gemma 3 or Phi-4 14B?

Both Gemma 3 and Phi-4 14B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Where can I run Gemma 3 and Phi-4 14B?

Gemma 3 is available on OpenRouter, Google AI Studio, and GCP Vertex AI. Phi-4 14B is available on OpenRouter, Fireworks AI, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 3 over Phi-4 14B?

Gemma 3 is ~63% cheaper at $0.04/1M; pay for Phi-4 14B only for provider fit. If your workload also depends on provider fit, start with Gemma 3; if it depends on provider fit, run the same evaluation with Phi-4 14B.

Continue comparing

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