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Llama Guard 4 12B vs Qwen3 14B

vs
Qwen3 14B

Alibaba

40#336
Signal-by-Signal Comparison
SignalLlama Guard 4 12BDeltaQwen3 14B
Capabilities
50
-17
67
Pricing
100
+1
99
Context window size
96
+14
81
Recency
48
+0
48
Output Capacity
70
+5
65
Overall Result
4 wins
of 5
1 wins
Llama Guard 4 12B wins 4 of 5 signals

Score History

Score History (25 data points)
Llama Guard 4 12BQwen3 14B
Llama Guard 4 12B

40

current score

Leader

Tied

right now

Qwen3 14B

40

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

Qwen3 14B

Alibaba

Per request$0.000682
Daily$2.27
Monthly$68.25
Annual$819.00

Llama Guard 4 12B saves you $41.25/month

That's $495.00/year compared to Qwen3 14B at your current usage level of 100K calls/month.

60% cheaper
Choose Llama Guard 4 12B for cost optimization

Llama Guard 4 12B pricing:
Input:$0.18/M tokens
Output:$0.18/M tokens
Qwen3 14B pricing:
Input:$0.23/M tokens
Output:$0.91/M tokens
Tie
Llama Guard 4 12B

Meta

40

Composite Score

Tie
Qwen3 14B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricLlama Guard 4 12BQwen3 14BWinner
Overall Score
40
40
--
Rank#335#336
Llama Guard 4 12B
Quality Rank#335#336
Llama Guard 4 12B
Adoption Rank#335#336
Llama Guard 4 12B
Parameters12B14B--
Context Window1049K131K
Llama Guard 4 12B
Pricing$0.18/$0.18/M$0.23/$0.91/M--
Signal Scores
Capabilities
50
67
Qwen3 14B
Pricing
100
99
Llama Guard 4 12B
Context window size
96
81
Llama Guard 4 12B
Recency
48
48
Llama Guard 4 12B
Output Capacity
70
65
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 #335), placing it in the top -15% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 14BEntry Level

Scores 40/100 (rank #336), placing it in the top -16% 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:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Self-hosted deployments where you need full control over the model

Choose Qwen3 14B when you need:

  • 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
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
Qwen3 14B
Input cost$0.23/M tokens
Output cost$0.91/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$17.06

Llama Guard 4 12B offers 68% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $17.06/month with Qwen3 14B - a $11.66 monthly difference.

Latency & Speed
Llama Guard 4 12BFaster
Speed score0/100
Qwen3 14B
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

Llama Guard 4 12B

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 Qwen3 14B 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 Cost - 68% 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

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityLlama Guard 4 12BQwen3 14B
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
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

Qwen3 14B

Alibaba

$1.50
estimated monthly cost

Llama Guard 4 12B saves you $0.9615/month

That's 64% cheaper than Qwen3 14B 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 12BQwen3 14B
Context Window1.0M131K
Max Output Tokens16,3848,192
Open SourceYesYes
CreatedApr 30, 2025Apr 28, 2025
Last updated: 1h ago

相关对比

Llama Guard 4 12B vs Qwen3 14B (2026) | LM Market Cap