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Llama Guard 3 1B vs Xiaomi MiMo-V2.5

Llama Guard 3 1B (2024) and Xiaomi MiMo-V2.5 (2026) are frontier reasoning models from AI at Meta and Xiaomi. Llama Guard 3 1B ships a not-yet-sourced context window, while Xiaomi MiMo-V2.5 ships a 1M-token context window. On pricing, Llama Guard 3 1B costs $0.1/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 3 1B is ~300% cheaper at $0.1/1M; pay for Xiaomi MiMo-V2.5 only for reasoning depth.

Specs

Released2024-09-252026-04-22
Context window1M
Parameters1B
Architecturedecoder only-
LicenseOpen SourceProprietary
Knowledge cutoff--

Pricing and availability

Llama Guard 3 1BXiaomi MiMo-V2.5
Input price$0.1/1M tokens$0.4/1M tokens
Output price$0.1/1M tokens$2/1M tokens
Providers

Capabilities

Llama Guard 3 1BXiaomi MiMo-V2.5
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: Xiaomi MiMo-V2.5, multimodal input: Xiaomi MiMo-V2.5, reasoning mode: Xiaomi MiMo-V2.5, function calling: Xiaomi MiMo-V2.5, tool use: Xiaomi MiMo-V2.5, and structured outputs: Xiaomi MiMo-V2.5. 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, Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens, while Xiaomi MiMo-V2.5 lists $0.4/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.78 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Llama Guard 3 1B when provider fit and lower input-token cost are central to the workload. Choose Xiaomi MiMo-V2.5 when reasoning depth 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.

FAQ

Which is cheaper, Llama Guard 3 1B or Xiaomi MiMo-V2.5?

Llama Guard 3 1B is cheaper on tracked token pricing. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Xiaomi MiMo-V2.5 costs $0.4/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Llama Guard 3 1B or Xiaomi MiMo-V2.5 open source?

Llama Guard 3 1B is listed under Open Source. Xiaomi MiMo-V2.5 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, Llama Guard 3 1B or Xiaomi MiMo-V2.5?

Xiaomi MiMo-V2.5 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Llama Guard 3 1B or Xiaomi MiMo-V2.5?

Xiaomi MiMo-V2.5 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, Llama Guard 3 1B or Xiaomi MiMo-V2.5?

Xiaomi MiMo-V2.5 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 Llama Guard 3 1B and Xiaomi MiMo-V2.5?

Llama Guard 3 1B is available on Fireworks AI. Xiaomi MiMo-V2.5 is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.