LLM ReferenceLLM Reference

Claude Sonnet 4.5 vs Llama Guard 3 1B

Claude Sonnet 4.5 (2025) and Llama Guard 3 1B (2024) are frontier reasoning models from Anthropic and AI at Meta. Claude Sonnet 4.5 ships a 200K-token context window, while Llama Guard 3 1B ships a not-yet-sourced context window. On pricing, Llama Guard 3 1B costs $0.1/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 3 1B is ~2900% cheaper at $0.1/1M; pay for Claude Sonnet 4.5 only for reasoning depth.

Specs

Released2025-09-292024-09-25
Context window200K
Parameters1B
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff2025-12-

Pricing and availability

Claude Sonnet 4.5Llama Guard 3 1B
Input price$3/1M tokens$0.1/1M tokens
Output price$15/1M tokens$0.1/1M tokens
Providers

Capabilities

Claude Sonnet 4.5Llama Guard 3 1B
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 Sonnet 4.5, multimodal input: Claude Sonnet 4.5, reasoning mode: Claude Sonnet 4.5, function calling: Claude Sonnet 4.5, tool use: Claude Sonnet 4.5, and structured outputs: Claude Sonnet 4.5. 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, Claude Sonnet 4.5 lists $3/1M input and $15/1M output tokens, while Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $6.5 per million blended tokens. Availability is 8 providers versus 1, so concentration risk also matters.

Choose Claude Sonnet 4.5 when reasoning depth and broader provider choice are central to the workload. Choose Llama Guard 3 1B 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 is cheaper, Claude Sonnet 4.5 or Llama Guard 3 1B?

Llama Guard 3 1B is cheaper on tracked token pricing. Claude Sonnet 4.5 costs $3/1M input and $15/1M output tokens. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Sonnet 4.5 or Llama Guard 3 1B open source?

Claude Sonnet 4.5 is listed under Proprietary. Llama Guard 3 1B 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 Sonnet 4.5 or Llama Guard 3 1B?

Claude Sonnet 4.5 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 Sonnet 4.5 or Llama Guard 3 1B?

Claude Sonnet 4.5 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, Claude Sonnet 4.5 or Llama Guard 3 1B?

Claude Sonnet 4.5 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 Claude Sonnet 4.5 and Llama Guard 3 1B?

Claude Sonnet 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, GCP Vertex AI, and AWS Bedrock. Llama Guard 3 1B is available on Fireworks AI. 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.