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Llama Guard 2 8B vs Mistral Medium 3

Llama Guard 2 8B (2024) and Mistral Medium 3 (2025) are compact production models from AI at Meta and MistralAI. Llama Guard 2 8B ships a 8K-token context window, while Mistral Medium 3 ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Mistral Medium 3 fits 16x more tokens; pick it for long-context work and Llama Guard 2 8B for tighter calls.

Specs

Specification
Released2024-04-182025-05-01
Context window8K128K
Parameters8B
Architecturedecoder onlydecoder only
LicenseOpen SourceProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeLlama Guard 2 8BMistral Medium 3
Input price$0.05/1M tokens-
Output price$0.25/1M tokens-
Providers-

Capabilities

CapabilityLlama Guard 2 8BMistral Medium 3
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Medium 3, multimodal input: Mistral Medium 3, function calling: Mistral Medium 3, tool use: Mistral Medium 3, structured outputs: Mistral Medium 3, and code execution: Mistral Medium 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.

Pricing coverage is uneven: Llama Guard 2 8B has $0.05/1M input tokens and Mistral Medium 3 has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Llama Guard 2 8B when provider fit and broader provider choice are central to the workload. Choose Mistral Medium 3 when coding workflow support 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.

FAQ

Which has a larger context window, Llama Guard 2 8B or Mistral Medium 3?

Mistral Medium 3 supports 128K 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.

Is Llama Guard 2 8B or Mistral Medium 3 open source?

Llama Guard 2 8B is listed under Open Source. Mistral Medium 3 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 2 8B or Mistral Medium 3?

Mistral Medium 3 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, Llama Guard 2 8B or Mistral Medium 3?

Mistral Medium 3 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 function calling, Llama Guard 2 8B or Mistral Medium 3?

Mistral Medium 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 Mistral Medium 3?

Llama Guard 2 8B is available on Fireworks AI, OctoAI API (Deprecated), and Replicate API. Mistral Medium 3 is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-05. Data sourced from public model cards and provider documentation.