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Llama Guard 4 12B vs Mistral Small 3.2 24B

vs
Mistral Small 3.2 24B

Mistral AI

40#380
Signal-by-Signal Comparison
SignalLlama Guard 4 12BDeltaMistral Small 3.2 24B
Capabilities
50
-17
67
Pricing
100
--
100
Context window size
83
-3
86
Recency
42
-9
51
Output Capacity
67
--
67
Overall Result
0 wins
of 5
3 wins
Mistral Small 3.2 24B wins 3 of 5 signals

Score History

Score History (30 data points)
Llama Guard 4 12BMistral Small 3.2 24B
Llama Guard 4 12B

40

current score

Leader

Tied

right now

Mistral Small 3.2 24B

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Llama Guard 4 12B

Meta

Per request$0.000270
Daily$0.90
Monthly$27.00
Annual$324.00

Mistral Small 3.2 24B

Mistral AI

Best Value
Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

Mistral Small 3.2 24B saves you $9.50/month

That's $114.00/year compared to Llama Guard 4 12B at your current usage level of 100K calls/month.

35% cheaper
Choose Mistral Small 3.2 24B for cost optimization

Llama Guard 4 12B pricing:
Input:$0.18/M tokens
Output:$0.18/M tokens
Mistral Small 3.2 24B pricing:
Input:$0.07/M tokens
Output:$0.20/M tokens
Tie
Llama Guard 4 12B

Meta

40

Composite Score

Tie
Mistral Small 3.2 24B

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricLlama Guard 4 12BMistral Small 3.2 24BWinner
Overall Score
40
40
--
Rank#382#380
Mistral Small 3.2 24B
Quality Rank#382#380
Mistral Small 3.2 24B
Adoption Rank#382#380
Mistral Small 3.2 24B
Parameters12B24B--
Context Window164K256K
Mistral Small 3.2 24B
Pricing$0.18/$0.18/M$0.07/$0.20/M--
Signal Scores
Capabilities
50
67
Mistral Small 3.2 24B
Pricing
100
100
Llama Guard 4 12B
Context window size
83
86
Mistral Small 3.2 24B
Recency
42
51
Mistral Small 3.2 24B
Output Capacity
67
67
Llama Guard 4 12B
Benchmark Interpretation

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.

Llama Guard 4 12BEntry Level

Scores 40/100 (rank #382), placing it in the top -31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Small 3.2 24BEntry Level

Scores 40/100 (rank #380), placing it in the top -31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose Llama Guard 4 12B when you need:

  • Self-hosted deployments where you need full control over the model

Choose Mistral Small 3.2 24B when you need:

  • Processing long documents or large codebases (256K token context)
  • Agentic applications using tool/function calling
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Llama Guard 4 12B
Input cost$0.18/M tokens
Output cost$0.18/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$5.40
Mistral Small 3.2 24BBest Value
Input cost$0.07/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.13

Mistral Small 3.2 24B offers 24% better value per quality point. At 1M tokens/day, you'd spend $4.13/month with Mistral Small 3.2 24B vs $5.40/month with Llama Guard 4 12B - a $1.27 monthly difference.

Latency & Speed
Llama Guard 4 12BFaster
Speed score0/100
Mistral Small 3.2 24B
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Llama Guard 4 12B

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

Llama Guard 4 12B

Long document analysis

Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Small 3.2 24B

Batch data extraction

Lower output pricing ($0.18/M) reduces costs when processing thousands of records daily

Llama Guard 4 12B

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Llama Guard 4 12B

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Llama Guard 4 12B
Which Should You Choose?
Our recommendation:
Llama Guard 4 12B

Llama Guard 4 12B and Mistral Small 3.2 24B 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 Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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

by Mistral AI

  • Choose for Cost - 24% lower pricing; better value at scale
Capability Comparison
CapabilityLlama Guard 4 12BMistral Small 3.2 24B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama Guard 4 12B

Meta

$0.5400
estimated monthly cost

Mistral Small 3.2 24B

Mistral AI

Best Value
$0.3750
estimated monthly cost

Mistral Small 3.2 24B saves you $0.1650/month

That's 31% cheaper than Llama Guard 4 12B 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.

Parameters & Context
ParameterLlama Guard 4 12BMistral Small 3.2 24B
Context Window164K256K
Max Output Tokens16,38416,384
Open SourceYesYes
CreatedApr 30, 2025Jun 20, 2025
Last updated: 15m ago

相关对比

Llama Guard 4 12B vs Mistral Small 3.2 24B (2026) | LM Market Cap