| Signal | Llama Guard 4 12B | Delta | Qwen-Max |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | -4 | |
Context window size | 83 | +11 | |
Recency | 73 | +16 | |
Output Capacity | 20 | -45 | |
| Overall Result | 2 wins | of 5 | 2 wins |
7
days ranked higher
9
days
14
days ranked higher
Meta
Alibaba
Llama Guard 4 12B saves you $285.00/month
That's $3420.00/year compared to Qwen-Max at your current usage level of 100K calls/month.
| Metric | Llama Guard 4 12B | Qwen-Max | Winner |
|---|---|---|---|
| Overall Score | 59 | 59 | Llama Guard 4 12B |
| Rank | #228 | #229 | Llama Guard 4 12B |
| Quality Rank | #228 | #229 | Llama Guard 4 12B |
| Adoption Rank | #228 | #229 | Llama Guard 4 12B |
| Parameters | 12B | -- | -- |
| Context Window | 164K | 33K | Llama Guard 4 12B |
| Pricing | $0.18/$0.18/M | $1.04/$4.16/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama Guard 4 12B |
| Pricing | 0 | 4 | Qwen-Max |
| Context window size | 83 | 72 | Llama Guard 4 12B |
| Recency | 73 | 57 | Llama Guard 4 12B |
| Output Capacity | 20 | 65 | Qwen-Max |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 59/100 (rank #228), placing it in the top 22% of all 290 models tracked.
Scores 59/100 (rank #229), placing it in the top 21% 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 93% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $78.00/month with Qwen-Max - a $72.60 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama Guard 4 12B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (164K 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 (59/100) 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 Qwen-Max are extremely close in overall performance (only 0.20000000000000284 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
93% 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 | Qwen-Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Alibaba
Llama Guard 4 12B saves you $6.32/month
That's 92% cheaper than Qwen-Max 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 | Qwen-Max |
|---|---|---|
| Context Window | 164K | 33K |
| Max Output Tokens | -- | 8,192 |
| Open Source | Yes | No |
| Created | Apr 30, 2025 | Feb 1, 2025 |
Llama Guard 4 12B scores 59/100 (rank #228) compared to Qwen-Max 's 59/100 (rank #229), giving it a 0-point advantage. Llama Guard 4 12B is the stronger overall choice, though Qwen-Max may excel in specific areas like certain benchmarks.
Llama Guard 4 12B is ranked #228 and Qwen-Max is ranked #229 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama Guard 4 12B is cheaper at $0.18/M output tokens vs Qwen-Max 's $4.16/M output tokens - 23.1x more expensive. Input token pricing: Llama Guard 4 12B at $0.18/M vs Qwen-Max at $1.04/M.
Llama Guard 4 12B has a larger context window of 163,840 tokens compared to Qwen-Max 's 32,768 tokens. A larger context window means the model can process longer documents and conversations.