| Signal | Gemma 4 31B | Delta | Llama Guard 4 12B |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 86 | +86 | |
Pricing | 100 | 0 | |
Context window size | 86 | +3 | |
Recency | 100 | +36 | |
Output Capacity | 70 | -- | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
80.5
current score
Gemma 4 31B
right now
40
current score
Meta
Llama Guard 4 12B saves you $5.00/month
That's $60.00/year compared to Gemma 4 31B at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | Llama Guard 4 12B | Winner |
|---|---|---|---|
| Overall Score | 81 | 40 | Gemma 4 31B |
| Rank | #37 | #275 | Gemma 4 31B |
| Quality Rank | #37 | #275 | Gemma 4 31B |
| Adoption Rank | #37 | #275 | Gemma 4 31B |
| Parameters | 31B | 12B | -- |
| Context Window | 262K | 164K | Gemma 4 31B |
| Pricing | $0.13/$0.38/M | $0.18/$0.18/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | Gemma 4 31B |
| Benchmarks | 86 | -- | Gemma 4 31B |
| Pricing | 100 | 100 | Llama Guard 4 12B |
| Context window size | 86 | 83 | Gemma 4 31B |
| Recency | 100 | 65 | Gemma 4 31B |
| Output Capacity | 70 | 70 | Gemma 4 31B |
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 81/100 (rank #37), placing it in the top 88% of all 290 models tracked.
Scores 40/100 (rank #275), placing it in the top 6% of all 290 models tracked.
Gemma 4 31B has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Gemma 4 31B offers 29% better value per quality point. At 1M tokens/day, you'd spend $5.40/month with Llama Guard 4 12B vs $7.65/month with Gemma 4 31B - a $2.25 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 (81/100) 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
Gemma 4 31B clearly outperforms Llama Guard 4 12B with a significant 40.5-point lead. For most general use cases, Gemma 4 31B is the stronger choice. However, Llama Guard 4 12B may still excel in niche scenarios.
Best for Quality
Gemma 4 31B
Marginally better benchmark scores; both are excellent
Best for Cost
Llama Guard 4 12B
29% lower pricing; better value at scale
Best for Reliability
Gemma 4 31B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 31B
Stronger community support and better developer experience
Best for Production
Gemma 4 31B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 31B | Llama Guard 4 12B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
Llama Guard 4 12B saves you $0.1500/month
That's 22% cheaper than Gemma 4 31B 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 | Gemma 4 31B | Llama Guard 4 12B |
|---|---|---|
| Context Window | 262K | 164K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | Yes | Yes |
| Created | Apr 2, 2026 | Apr 30, 2025 |