| Signal | GPT-4 Turbo (older v1106) | Delta | Llama Guard 3 8B |
|---|---|---|---|
Capabilities | 50 | +33 | |
Pricing | 30 | +30 | |
Context window size | 81 | 0 | |
Recency | 0 | -59 | |
Output Capacity | 60 | +40 | |
| Overall Result | 3 wins | of 5 | 2 wins |
7
days ranked higher
2
days
21
days ranked higher
OpenAI
Meta
Llama Guard 3 8B saves you $2495.00/month
That's $29940.00/year compared to GPT-4 Turbo (older v1106) at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo (older v1106) | Llama Guard 3 8B | Winner |
|---|---|---|---|
| Overall Score | 43 | 43 | Llama Guard 3 8B |
| Rank | #278 | #275 | Llama Guard 3 8B |
| Quality Rank | #278 | #275 | Llama Guard 3 8B |
| Adoption Rank | #278 | #275 | Llama Guard 3 8B |
| Parameters | -- | 8B | -- |
| Context Window | 128K | 131K | Llama Guard 3 8B |
| Pricing | $10.00/$30.00/M | $0.02/$0.06/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 17 | GPT-4 Turbo (older v1106) |
| Pricing | 30 | 0 | GPT-4 Turbo (older v1106) |
| Context window size | 81 | 81 | Llama Guard 3 8B |
| Recency | 0 | 59 | Llama Guard 3 8B |
| Output Capacity | 60 | 20 | GPT-4 Turbo (older v1106) |
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 43/100 (rank #278), placing it in the top 4% of all 290 models tracked.
Scores 43/100 (rank #275), placing it in the top 6% 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 3 8B offers 100% better value per quality point. At 1M tokens/day, you'd spend $1.20/month with Llama Guard 3 8B vs $600.00/month with GPT-4 Turbo (older v1106) - a $598.80 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 3 8B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.06/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (43/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 Turbo (older v1106) and Llama Guard 3 8B are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 Turbo (older v1106)
Marginally better benchmark scores; both are excellent
Best for Cost
Llama Guard 3 8B
100% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo (older v1106)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo (older v1106)
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo (older v1106)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo (older v1106) | Llama Guard 3 8B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama Guard 3 8B saves you $53.89/month
That's 100% cheaper than GPT-4 Turbo (older v1106) 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 | GPT-4 Turbo (older v1106) | Llama Guard 3 8B |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Nov 6, 2023 | Feb 12, 2025 |
Llama Guard 3 8B scores 43/100 (rank #275) compared to GPT-4 Turbo (older v1106)'s 43/100 (rank #278), giving it a 0-point advantage. Llama Guard 3 8B is the stronger overall choice, though GPT-4 Turbo (older v1106) may excel in specific areas like certain benchmarks.
GPT-4 Turbo (older v1106) is ranked #278 and Llama Guard 3 8B is ranked #275 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 3 8B is cheaper at $0.06/M output tokens vs GPT-4 Turbo (older v1106)'s $30.00/M output tokens - 500.0x more expensive. Input token pricing: GPT-4 Turbo (older v1106) at $10.00/M vs Llama Guard 3 8B at $0.02/M.
Llama Guard 3 8B has a larger context window of 131,072 tokens compared to GPT-4 Turbo (older v1106)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.