Claude Opus 4.7 vs Llama Guard 4 12B
Claude Opus 4.7 (2026) and Llama Guard 4 12B (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude Opus 4.7 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 $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama Guard 4 12B is ~2678% cheaper at $0.18/1M; pay for Claude Opus 4.7 only for coding workflow support.
Specs
| Released | 2026-04-16 | 2025-04-05 |
| Context window | 1M | 164K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2026-01 | - |
Pricing and availability
| Claude Opus 4.7 | Llama Guard 4 12B | |
|---|---|---|
| Input price | $5/1M tokens | $0.18/1M tokens |
| Output price | $25/1M tokens | $0.18/1M tokens |
| Providers |
Capabilities
| Claude Opus 4.7 | Llama Guard 4 12B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Claude Opus 4.7, multimodal input: Claude Opus 4.7, reasoning mode: Claude Opus 4.7, function calling: Claude Opus 4.7, tool use: Claude Opus 4.7, and code execution: Claude Opus 4.7. Both models share structured outputs, 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, Claude Opus 4.7 lists $5/1M input and $25/1M output tokens, 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 $10.82 per million blended tokens. Availability is 5 providers versus 3, so concentration risk also matters.
Choose Claude Opus 4.7 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama Guard 4 12B when provider fit and lower input-token cost 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, Claude Opus 4.7 or Llama Guard 4 12B?
Claude Opus 4.7 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, Claude Opus 4.7 or Llama Guard 4 12B?
Llama Guard 4 12B is cheaper on tracked token pricing. Claude Opus 4.7 costs $5/1M input and $25/1M 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 Claude Opus 4.7 or Llama Guard 4 12B open source?
Claude Opus 4.7 is listed under Proprietary. Llama Guard 4 12B is listed under Open Source. 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, Claude Opus 4.7 or Llama Guard 4 12B?
Claude Opus 4.7 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, Claude Opus 4.7 or Llama Guard 4 12B?
Claude Opus 4.7 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 Claude Opus 4.7 and Llama Guard 4 12B?
Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. 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.
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Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.