LLM Reference

Gemma 3 12B Instruct vs Gemma 4 12B IT

Gemma 3 12B Instruct (2025) and Gemma 4 12B IT (2026) are frontier reasoning models from Google DeepMind. Gemma 3 12B Instruct ships a 128k-token context window, while Gemma 4 12B IT ships a 256k-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.

Gemma 4 12B IT is safer overall; choose Gemma 3 12B Instruct when provider fit matters.

Decision scorecard

Local evidence first
SignalGemma 3 12B InstructGemma 4 12B IT
Best forgeneral production evaluationreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitLong contextCoding, RAG, and Agents
Context window128k256k
Cheapest output$0.20/1M tokens-
Provider routes1 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 12B Instruct when...
  • Local decision data tags Gemma 3 12B Instruct for Long context.
Choose Gemma 4 12B IT when...
  • Gemma 4 12B IT has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 12B IT has broader tracked provider coverage for fallback and procurement flexibility.
  • 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.

Monthly cost at traffic

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

Gemma 3 12B Instruct

$210

Cheapest tracked route/tier: Fireworks AI

Gemma 4 12B IT

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 3 12B Instruct -> Gemma 4 12B IT
  • No overlapping tracked provider route is sourced for Gemma 3 12B Instruct 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.
Gemma 4 12B IT -> Gemma 3 12B Instruct
  • No overlapping tracked provider route is sourced for Gemma 4 12B IT and Gemma 3 12B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Specs

Specification
Released2025-01-012026-06-03
Context window128k256k
Parameters12B11.9B
Architecturedecoder onlyencoder free unified multimodal
LicenseOpen SourceApache 2.0
Knowledge cutoff2024-082025-01

Pricing and availability

Pricing attributeGemma 3 12B InstructGemma 4 12B IT
Input price$0.20/1M tokens-
Output price$0.20/1M tokens-
Providers

Capabilities

CapabilityGemma 3 12B InstructGemma 4 12B IT
VisionNoYes
MultimodalNoYes
ReasoningNoYes
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
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 vision: Gemma 4 12B IT, multimodal input: Gemma 4 12B IT, reasoning mode: Gemma 4 12B IT, function calling: Gemma 4 12B IT, tool use: Gemma 4 12B IT, and structured outputs: Gemma 4 12B IT. 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 3 12B Instruct has $0.20/1M input tokens and Gemma 4 12B IT has no token price sourced yet. Provider availability is 1 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 3 12B Instruct when provider fit are central to the workload. Choose Gemma 4 12B IT when reasoning depth, larger context windows, 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 3 12B Instruct or Gemma 4 12B IT?

Gemma 4 12B IT supports 256k tokens, while Gemma 3 12B Instruct 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 3 12B Instruct or Gemma 4 12B IT open source?

Gemma 3 12B Instruct is listed under Open Source. Gemma 4 12B IT is listed under Apache 2.0. 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 12B Instruct or Gemma 4 12B IT?

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 3 12B Instruct or Gemma 4 12B IT?

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 3 12B Instruct or Gemma 4 12B IT?

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 3 12B Instruct and Gemma 4 12B IT?

Gemma 3 12B Instruct is available on Fireworks AI. Gemma 4 12B IT is available on Hugging Face Inference Endpoints and Kaggle Models. 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.