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Claude 3.7 Sonnet vs Llama Guard 4 12B

Claude 3.7 Sonnet (2024) and Llama Guard 4 12B (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude 3.7 Sonnet ships a 200K-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 $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 4 12B is ~1567% cheaper at $0.18/1M; pay for Claude 3.7 Sonnet only for coding workflow support.

Specs

Released2024-03-042025-04-05
Context window200K164K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff2024-11-

Pricing and availability

Claude 3.7 SonnetLlama Guard 4 12B
Input price$3/1M tokens$0.18/1M tokens
Output price$15/1M tokens$0.18/1M tokens
Providers

Capabilities

Claude 3.7 SonnetLlama 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 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, reasoning mode: Claude 3.7 Sonnet, function calling: Claude 3.7 Sonnet, tool use: Claude 3.7 Sonnet, and code execution: Claude 3.7 Sonnet. 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 3.7 Sonnet lists $3/1M input and $15/1M 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 $6.42 per million blended tokens. Availability is 6 providers versus 3, so concentration risk also matters.

Choose Claude 3.7 Sonnet 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 3.7 Sonnet or Llama Guard 4 12B?

Claude 3.7 Sonnet supports 200K 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 3.7 Sonnet or Llama Guard 4 12B?

Llama Guard 4 12B is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M 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 3.7 Sonnet or Llama Guard 4 12B open source?

Claude 3.7 Sonnet 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 3.7 Sonnet or Llama Guard 4 12B?

Claude 3.7 Sonnet 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 3.7 Sonnet or Llama Guard 4 12B?

Claude 3.7 Sonnet 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 3.7 Sonnet and Llama Guard 4 12B?

Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. 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: 2026-04-24. Data sourced from public model cards and provider documentation.