LLM Reference

Gemma 3 vs Phi 4 Multimodal Instruct

Gemma 3 (2025) and Phi 4 Multimodal Instruct (2025) are compact production models from Google DeepMind and Microsoft Research. Gemma 3 ships a not-yet-sourced context window, while Phi 4 Multimodal Instruct ships a 128k-token context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.90/1M 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 ~2150% cheaper at $0.04/1M; pay for Phi 4 Multimodal Instruct only for vision-heavy evaluation.

Decision scorecard

Local evidence first
SignalGemma 3Phi 4 Multimodal Instruct
Best forprovider-routed productionmultimodal apps and provider-routed production
Decision fitClassification and JSON / Tool useLong context and Vision
Context window128k
Cheapest output$0.08/1M tokens$0.90/1M 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.
  • Gemma 3 uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Phi 4 Multimodal Instruct when...
  • Phi 4 Multimodal Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Phi 4 Multimodal Instruct uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Phi 4 Multimodal Instruct for Long context and Vision.

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 Multimodal Instruct

$945

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $893. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Phi 4 Multimodal Instruct
  • No overlapping tracked provider route is sourced for Gemma 3 and Phi 4 Multimodal Instruct; plan for SDK, billing, or endpoint changes.
  • Phi 4 Multimodal Instruct is $0.82/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Phi 4 Multimodal Instruct adds Vision and Multimodal in local capability data.
Phi 4 Multimodal Instruct -> Gemma 3
  • No overlapping tracked provider route is sourced for Phi 4 Multimodal Instruct and Gemma 3; plan for SDK, billing, or endpoint changes.
  • Gemma 3 is $0.82/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • Gemma 3 adds Structured outputs in local capability data.

Specs

Specification
Released2025-03-122025-01-01
Context window128k
Parameters5.6B
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 Multimodal Instruct
Input price$0.04/1M tokens$0.90/1M tokens
Output price$0.08/1M tokens$0.90/1M tokens
Providers

Capabilities

CapabilityGemma 3Phi 4 Multimodal Instruct
VisionNoYes
MultimodalNoYes
ReasoningNoNo
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 vision: Phi 4 Multimodal Instruct, multimodal input: Phi 4 Multimodal Instruct, and structured outputs: Gemma 3. 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.

For cost, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens on the cheapest tracked provider, while Phi 4 Multimodal Instruct lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.85 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 Multimodal Instruct when vision-heavy evaluation 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 is cheaper, Gemma 3 or Phi 4 Multimodal Instruct?

Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Phi 4 Multimodal Instruct costs $0.90/1M input and $0.90/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 or Phi 4 Multimodal Instruct open source?

Gemma 3 is listed under Gemma. Phi 4 Multimodal Instruct 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 vision, Gemma 3 or Phi 4 Multimodal Instruct?

Phi 4 Multimodal Instruct 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 3 or Phi 4 Multimodal Instruct?

Phi 4 Multimodal Instruct 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 structured outputs, Gemma 3 or Phi 4 Multimodal Instruct?

Gemma 3 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 3 and Phi 4 Multimodal Instruct?

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

Continue comparing

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