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Llama Guard 4 12B vs Muse Spark 1.3

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Signal-by-Signal Comparison
SignalLlama Guard 4 12BDeltaMuse Spark 1.3
Capabilities
33
-67
100
Pricing
100
+4
96
Context window size
83
-13
96
Recency
40
-60
100
Output Capacity
67
-28
96
Overall Result
1 wins
of 5
4 wins
Muse Spark 1.3 wins 4 of 5 signals

Score History

Score History (32 data points)
Llama Guard 4 12BMuse Spark 1.3
Llama Guard 4 12B

40

current score

Leader

Muse Spark 1.3

right now

Muse Spark 1.3

80.9

current score

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

Llama Guard 4 12B

Meta

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

Muse Spark 1.3

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

Llama Guard 4 12B saves you $310.50/month

That's $3726.00/year compared to Muse Spark 1.3 at your current usage level of 100K calls/month.

92% cheaper
Choose Llama Guard 4 12B for cost optimization

Llama Guard 4 12B pricing:
Input:$0.18/M tokens
Output:$0.18/M tokens
Muse Spark 1.3 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Llama Guard 4 12B

Meta

40

Composite Score

Winner
Muse Spark 1.3

meta

81

Composite Score

Signal-by-Signal Comparison
MetricLlama Guard 4 12BMuse Spark 1.3Winner
Overall Score
40
81
Muse Spark 1.3
Rank#379#83
Muse Spark 1.3
Quality Rank#379#83
Muse Spark 1.3
Adoption Rank#379#83
Muse Spark 1.3
Parameters12B----
Context Window164K1049K
Muse Spark 1.3
Pricing$0.18/$0.18/M$1.25/$4.25/M--
Signal Scores
Capabilities
33
100
Muse Spark 1.3
Pricing
100
96
Llama Guard 4 12B
Context window size
83
96
Muse Spark 1.3
Recency
40
100
Muse Spark 1.3
Output Capacity
67
96
Muse Spark 1.3
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 #379), placing it in the top -30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.3Strong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.3 has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

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 Muse Spark 1.3 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Llama Guard 4 12BBest Value
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
Muse Spark 1.3
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50

Llama Guard 4 12B offers 93% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $82.50/month with Muse Spark 1.3 - a $77.10 monthly difference.

Latency & Speed
Llama Guard 4 12BFaster
Speed score0/100
Muse Spark 1.3
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 (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Spark 1.3

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 (81/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.3

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:
Muse Spark 1.3

Muse Spark 1.3 clearly outperforms Llama Guard 4 12B with a significant 40.900000000000006-point lead. For most general use cases, Muse Spark 1.3 is the stronger choice. However, Llama Guard 4 12B may still excel in niche scenarios.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 93% 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
Muse Spark 1.3
Recommended

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityLlama Guard 4 12BMuse Spark 1.3
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama Guard 4 12B

Meta

Best Value
$0.5400
estimated monthly cost

Muse Spark 1.3

meta

$7.35
estimated monthly cost

Llama Guard 4 12B saves you $6.81/month

That's 93% cheaper than Muse Spark 1.3 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 12BMuse Spark 1.3
Context Window164K1.0M
Max Output Tokens16,384943,718
Open SourceYesNo
CreatedApr 30, 2025Sep 2, 2026
Last updated: 48m ago

相关对比

Llama Guard 4 12B vs Muse Spark 1.3 (2026) | LM Market Cap