Llama Guard 7B vs Mistral Small 3
Llama Guard 7B (2023) and Mistral Small 3 (2025) are compact production models from AI at Meta and MistralAI. Llama Guard 7B ships a 2k-token context window, while Mistral Small 3 ships a 33k-token context window. On pricing, Mistral Small 3 costs $0.10/1M input tokens versus $0.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Small 3 is ~100% cheaper at $0.10/1M; pay for Llama Guard 7B only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama Guard 7B | Mistral Small 3 |
|---|---|---|
| Best for | provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Agents, Classification, and JSON / Tool use |
| Context window | 2k | 33k |
| Cheapest output | $0.20/1M tokens | $0.30/1M tokens |
| Provider routes | 2 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama Guard 7B has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Llama Guard 7B for Classification and JSON / Tool use.
- Mistral Small 3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3 uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama Guard 7B
$210
Cheapest tracked route/tier: Together AI
Mistral Small 3
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $55.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Mistral Small 3 is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 3 adds Function calling and Tool use in local capability data.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Llama Guard 7B is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-12-07 | 2025-01-01 |
| Context window | 2k | 33k |
| Parameters | 7B | 24B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2022-09 | 2023-10 |
Pricing and availability
| Pricing attribute | Llama Guard 7B | Mistral Small 3 |
|---|---|---|
| Input price | $0.20/1M tokens | $0.10/1M tokens |
| Output price | $0.20/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Llama Guard 7B | Mistral Small 3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on function calling: Mistral Small 3 and tool use: Mistral Small 3. 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, Llama Guard 7B lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Mistral Small 3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3 lower by about $0.04 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.
Choose Llama Guard 7B when provider fit are central to the workload. Choose Mistral Small 3 when long-context analysis, larger context windows, 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. 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 7B or Mistral Small 3?
Mistral Small 3 supports 33k tokens, while Llama Guard 7B supports 2k 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 7B or Mistral Small 3?
Mistral Small 3 is cheaper on tracked token pricing. Llama Guard 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Small 3 costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama Guard 7B or Mistral Small 3 open source?
Llama Guard 7B is listed under Llama 2 Community. Mistral Small 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 7B or Mistral Small 3?
Mistral Small 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.
Which is better for tool use, Llama Guard 7B or Mistral Small 3?
Mistral Small 3 has the clearer documented tool use signal in this comparison. If tool use 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 7B and Mistral Small 3?
Llama Guard 7B is available on Together AI and Fireworks AI. Mistral Small 3 is available on Together AI and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.