Gemini 3 Pro vs Llama Guard 4 12B
Gemini 3 Pro (2025) and Llama Guard 4 12B (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 3 Pro ships a 1m-token context window, while Llama Guard 4 12B ships a 164k-token context window. On pricing, Llama Guard 4 12B costs $0.18/1M input tokens versus $1.25/1M 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.
Llama Guard 4 12B is ~594% cheaper at $0.18/1M; pay for Gemini 3 Pro only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Gemini 3 Pro | Llama Guard 4 12B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 1m | 164k |
| Cheapest output | $5/1M tokens | $0.18/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 3 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3 Pro uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Gemini 3 Pro for Coding, RAG, and Agents.
- Llama Guard 4 12B has the lower cheapest tracked output price at $0.18/1M tokens.
- Llama Guard 4 12B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama Guard 4 12B uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama Guard 4 12B for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3 Pro
$2,250
Cheapest tracked route/tier: GCP Vertex AI
Llama Guard 4 12B
$189
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,061. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Replicate API; start route-level A/B tests there.
- Llama Guard 4 12B is $4.82/1M 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.
- Llama Guard 4 12B adds Structured outputs in local capability data.
- Provider overlap exists on Replicate API; start route-level A/B tests there.
- Gemini 3 Pro is $4.82/1M 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.
- Gemini 3 Pro adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2025-04-05 |
| Context window | 1m | 164k |
| Parameters | — | 12B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 2 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2024-08 |
Pricing and availability
| Pricing attribute | Gemini 3 Pro | Llama Guard 4 12B |
|---|---|---|
| Input price | $1.25/1M tokens | $0.18/1M tokens |
| Output price | $5/1M tokens | $0.18/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3 Pro | Llama Guard 4 12B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 3 Pro, multimodal input: Gemini 3 Pro, function calling: Gemini 3 Pro, tool use: Gemini 3 Pro, structured outputs: Llama Guard 4 12B, and code execution: Gemini 3 Pro. 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, Gemini 3 Pro lists $1.25/1M input and $5/1M output tokens on the cheapest tracked provider, while Llama Guard 4 12B lists $0.18/1M input and $0.18/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 4 12B lower by about $2.19 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.
Choose Gemini 3 Pro when coding workflow support and larger context windows are central to the workload. Choose Llama Guard 4 12B when provider fit, lower input-token cost, 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, Gemini 3 Pro or Llama Guard 4 12B?
Gemini 3 Pro supports 1m tokens, while Llama Guard 4 12B supports 164k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 3 Pro or Llama Guard 4 12B?
Llama Guard 4 12B is cheaper on tracked token pricing. Gemini 3 Pro costs $1.25/1M input and $5/1M output tokens. Llama Guard 4 12B costs $0.18/1M input and $0.18/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3 Pro or Llama Guard 4 12B open source?
Gemini 3 Pro is listed under Proprietary. Llama Guard 4 12B is listed under Llama 2 Community. 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, Gemini 3 Pro or Llama Guard 4 12B?
Gemini 3 Pro 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, Gemini 3 Pro or Llama Guard 4 12B?
Gemini 3 Pro 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 Gemini 3 Pro and Llama Guard 4 12B?
Gemini 3 Pro is available on Replicate API and GCP Vertex AI. Llama Guard 4 12B is available on NVIDIA NIM, Replicate API, and OpenRouter. 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.