LLM Reference

Gemma 3 12B Instruct vs GPT-4

Gemma 3 12B Instruct (2025) and GPT-4 (2023) are compact production models from Google DeepMind and OpenAI. Gemma 3 12B Instruct ships a 128K-token context window, while GPT-4 ships a 8K-token context window. On pricing, Gemma 3 12B Instruct costs $0.2/1M input tokens versus $30/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemma 3 12B Instruct is ~14900% cheaper at $0.2/1M; pay for GPT-4 only for coding workflow support.

Decision scorecard

Local evidence first
SignalGemma 3 12B InstructGPT-4
Decision fitLong contextCoding, Agents, and Vision
Context window128K8K
Cheapest output$0.2/1M tokens$60/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 12B Instruct when...
  • Gemma 3 12B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 3 12B Instruct has the lower cheapest tracked output price at $0.2/1M tokens.
  • Local decision data tags Gemma 3 12B Instruct for Long context.
Choose GPT-4 when...
  • GPT-4 has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags GPT-4 for Coding, Agents, and Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Gemma 3 12B Instruct

Gemma 3 12B Instruct

$210

Cheapest tracked route: Fireworks AI

GPT-4

$39,000

Cheapest tracked route: OpenAI API

Estimated monthly gap: $38,790. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 12B Instruct -> GPT-4
  • No overlapping tracked provider route is sourced for Gemma 3 12B Instruct and GPT-4; plan for SDK, billing, or endpoint changes.
  • GPT-4 is $59.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-4 adds Vision, Multimodal, and Function calling in local capability data.
GPT-4 -> Gemma 3 12B Instruct
  • No overlapping tracked provider route is sourced for GPT-4 and Gemma 3 12B Instruct; plan for SDK, billing, or endpoint changes.
  • Gemma 3 12B Instruct is $59.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2025-01-012023-03-14
Context window128K8K
Parameters12B1.76T (8x222B MoE)*
Architecturedecoder onlymixture of experts
LicenseOpen SourceProprietary
Knowledge cutoff2024-082021-09

Pricing and availability

Pricing attributeGemma 3 12B InstructGPT-4
Input price$0.2/1M tokens$30/1M tokens
Output price$0.2/1M tokens$60/1M tokens
Providers

Capabilities

CapabilityGemma 3 12B InstructGPT-4
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoNo
Structured outputsNoYes
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4, multimodal input: GPT-4, function calling: GPT-4, structured outputs: GPT-4, and code execution: GPT-4. 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 12B Instruct lists $0.2/1M input and $0.2/1M output tokens, while GPT-4 lists $30/1M input and $60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B Instruct lower by about $38.80 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.

Choose Gemma 3 12B Instruct when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose GPT-4 when coding workflow support 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. 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 3 12B Instruct or GPT-4?

Gemma 3 12B Instruct supports 128K tokens, while GPT-4 supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemma 3 12B Instruct or GPT-4?

Gemma 3 12B Instruct is cheaper on tracked token pricing. Gemma 3 12B Instruct costs $0.2/1M input and $0.2/1M output tokens. GPT-4 costs $30/1M input and $60/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 12B Instruct or GPT-4 open source?

Gemma 3 12B Instruct is listed under Open Source. GPT-4 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 vision, Gemma 3 12B Instruct or GPT-4?

GPT-4 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Gemma 3 12B Instruct or GPT-4?

GPT-4 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.

Where can I run Gemma 3 12B Instruct and GPT-4?

Gemma 3 12B Instruct is available on Fireworks AI. GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.