LLM ReferenceLLM Reference

Llama Guard 2 8B vs Mixtral 8x22B Instruct v0.3

Llama Guard 2 8B (2024) and Mixtral 8x22B Instruct v0.3 (2024) are compact production models from AI at Meta and MistralAI. Llama Guard 2 8B ships a 8K-token context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. On pricing, Llama Guard 2 8B costs $0.05/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama Guard 2 8B is ~3900% cheaper at $0.05/1M; pay for Mixtral 8x22B Instruct v0.3 only for long-context analysis.

Specs

Released2024-04-182024-07-01
Context window8K64K
Parameters8B8x22B
Architecturedecoder onlymixture of experts
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Llama Guard 2 8BMixtral 8x22B Instruct v0.3
Input price$0.05/1M tokens$2/1M tokens
Output price$0.25/1M tokens$2/1M tokens
Providers

Capabilities

Llama Guard 2 8BMixtral 8x22B Instruct v0.3
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 function calling: Mixtral 8x22B Instruct v0.3. 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 2 8B lists $0.05/1M input and $0.25/1M output tokens, while Mixtral 8x22B Instruct v0.3 lists $2/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 2 8B lower by about $1.89 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose Llama Guard 2 8B when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mixtral 8x22B Instruct v0.3 when long-context analysis and larger context windows 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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Llama Guard 2 8B or Mixtral 8x22B Instruct v0.3?

Mixtral 8x22B Instruct v0.3 supports 64K tokens, while Llama Guard 2 8B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Llama Guard 2 8B or Mixtral 8x22B Instruct v0.3?

Llama Guard 2 8B is cheaper on tracked token pricing. Llama Guard 2 8B costs $0.05/1M input and $0.25/1M output tokens. Mixtral 8x22B Instruct v0.3 costs $2/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Llama Guard 2 8B or Mixtral 8x22B Instruct v0.3 open source?

Llama Guard 2 8B is listed under Open Source. Mixtral 8x22B Instruct v0.3 is listed under Apache 2.0. 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 function calling, Llama Guard 2 8B or Mixtral 8x22B Instruct v0.3?

Mixtral 8x22B Instruct v0.3 has the clearer documented function calling signal in this comparison. If function calling 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 2 8B and Mixtral 8x22B Instruct v0.3?

Llama Guard 2 8B is available on Fireworks AI, OctoAI API, and Replicate API. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Llama Guard 2 8B over Mixtral 8x22B Instruct v0.3?

Llama Guard 2 8B is ~3900% cheaper at $0.05/1M; pay for Mixtral 8x22B Instruct v0.3 only for long-context analysis. If your workload also depends on provider fit, start with Llama Guard 2 8B; if it depends on long-context analysis, run the same evaluation with Mixtral 8x22B Instruct v0.3.

Continue comparing

Last reviewed: 2026-04-15. Data sourced from public model cards and provider documentation.