Llama Guard 4 12B vs Mistral Small 4
| Signal | Llama Guard 4 12B | Delta | Mistral Small 4 |
|---|---|---|---|
Capabilities | 33 | -50 | |
Pricing | 100 | +0 | |
Context window size | 83 | -3 | |
Recency | 40 | -58 | |
Output Capacity | 67 | -18 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
Llama Guard 4 12B
Meta
Mistral Small 4
Mistral AI
Llama Guard 4 12B saves you $18.00/month
That's $216.00/year compared to Mistral Small 4 at your current usage level of 100K calls/month.
| Metric | Llama Guard 4 12B | Mistral Small 4 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #388 | #336 | Mistral Small 4 |
| Quality Rank | #388 | #336 | Mistral Small 4 |
| Adoption Rank | #388 | #336 | Mistral Small 4 |
| Parameters | 12B | -- | -- |
| Context Window | 164K | 262K | Mistral Small 4 |
| Pricing | $0.18/$0.18/M | $0.15/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 83 | Mistral Small 4 |
| Pricing | 100 | 99 | Llama Guard 4 12B |
| Context window size | 83 | 86 | Mistral Small 4 |
| Recency | 40 | 98 | Mistral Small 4 |
| Output Capacity | 67 | 85 | Mistral Small 4 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #388), placing it in the top -33% of all 290 models tracked.
Scores 40/100 (rank #336), placing it in the top -16% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose Llama Guard 4 12B when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Choose Mistral Small 4 when you need:
- Processing long documents or large codebases (262K token context)
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Llama Guard 4 12B offers 52% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $11.25/month with Mistral Small 4 - a $5.85 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama Guard 4 12B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.18/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Llama Guard 4 12B and Mistral Small 4 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Llama Guard 4 12B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama Guard 4 12B
52% lower pricing; better value at scale
Best for Reliability
Llama Guard 4 12B
Higher uptime and faster response speeds
Best for Prototyping
Llama Guard 4 12B
Stronger community support and better developer experience
Best for Production
Llama Guard 4 12B
Wider enterprise adoption and proven at scale
by Meta
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 52% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Llama Guard 4 12B | Mistral Small 4 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Llama Guard 4 12B
Meta
Mistral Small 4
Mistral AI
Llama Guard 4 12B saves you $0.4500/month
That's 45% cheaper than Mistral Small 4 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Llama Guard 4 12B | Mistral Small 4 |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | 16,384 | 209,715 |
| Open Source | Yes | Yes |
| Created | Apr 30, 2025 | Mar 16, 2026 |