| Signal | Llama Guard 4 12B | Delta | Mistral Medium 3.5 |
|---|---|---|---|
Capabilities | 50 | -33 | |
Pricing | 100 | +7 | |
Context window size | 83 | -3 | |
Recency | 65 | -35 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
Meta
Mistral AI
Llama Guard 4 12B saves you $498.00/month
That's $5976.00/year compared to Mistral Medium 3.5 at your current usage level of 100K calls/month.
| Metric | Llama Guard 4 12B | Mistral Medium 3.5 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #275 | #187 | Mistral Medium 3.5 |
| Quality Rank | #275 | #187 | Mistral Medium 3.5 |
| Adoption Rank | #275 | #187 | Mistral Medium 3.5 |
| Parameters | 12B | -- | -- |
| Context Window | 164K | 262K | Mistral Medium 3.5 |
| Pricing | $0.18/$0.18/M | $1.50/$7.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Mistral Medium 3.5 |
| Pricing | 100 | 93 | Llama Guard 4 12B |
| Context window size | 83 | 86 | Mistral Medium 3.5 |
| Recency | 65 | 100 | Mistral Medium 3.5 |
| Output Capacity | 70 | 20 | Llama Guard 4 12B |
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 #275), placing it in the top 6% of all 290 models tracked.
Scores 40/100 (rank #187), placing it in the top 36% 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.
Llama Guard 4 12B offers 96% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $135.00/month with Mistral Medium 3.5 - a $129.60 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 Medium 3.5 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.
Best for Quality
Llama Guard 4 12B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama Guard 4 12B
96% 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
| Capability | Llama Guard 4 12B | Mistral Medium 3.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Llama Guard 4 12B saves you $11.16/month
That's 95% cheaper than Mistral Medium 3.5 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 Medium 3.5 |
|---|---|---|
| Context Window | 164K | 262K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | No |
| Created | Apr 30, 2025 | Apr 30, 2026 |