| Signal | Grok 3 | Delta | Llama 4 Scout |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 77 | +77 | |
Pricing | 15 | +15 | |
Context window size | 81 | -6 | |
Recency | 81 | +12 | |
Output Capacity | 20 | -50 | |
| Overall Result | 3 wins | of 6 | 2 wins |
15
days ranked higher
6
days
9
days ranked higher
xAI
Meta
Llama 4 Scout saves you $1027.00/month
That's $12324.00/year compared to Grok 3 at your current usage level of 100K calls/month.
| Metric | Grok 3 | Llama 4 Scout | Winner |
|---|---|---|---|
| Overall Score | 74 | 72 | Grok 3 |
| Rank | #119 | #143 | Grok 3 |
| Quality Rank | #119 | #143 | Grok 3 |
| Adoption Rank | #119 | #143 | Grok 3 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 328K | Llama 4 Scout |
| Pricing | $3.00/$15.00/M | $0.08/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Grok 3 |
| Benchmarks | 77 | -- | Grok 3 |
| Pricing | 15 | 0 | Grok 3 |
| Context window size | 81 | 88 | Llama 4 Scout |
| Recency | 81 | 69 | Grok 3 |
| Output Capacity | 20 | 70 | Llama 4 Scout |
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 74/100 (rank #119), placing it in the top 59% of all 290 models tracked.
Scores 72/100 (rank #143), placing it in the top 51% of all 290 models tracked.
With only a 2-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 4 Scout offers 98% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $270.00/month with Grok 3 - a $264.30 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 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (328K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) 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
Grok 3 and Llama 4 Scout are extremely close in overall performance (only 1.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Grok 3
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
98% lower pricing; better value at scale
Best for Reliability
Grok 3
Higher uptime and faster response speeds
Best for Prototyping
Grok 3
Stronger community support and better developer experience
Best for Production
Grok 3
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 3 | Llama 4 Scout |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Meta
Llama 4 Scout saves you $22.90/month
That's 98% cheaper than Grok 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.
| Parameter | Grok 3 | Llama 4 Scout |
|---|---|---|
| Context Window | 131K | 328K |
| Max Output Tokens | -- | 16,384 |
| Open Source | No | Yes |
| Created | Jun 10, 2025 | Apr 5, 2025 |
Grok 3 scores 74/100 (rank #119) compared to Llama 4 Scout's 72/100 (rank #143), giving it a 2-point advantage. Grok 3 is the stronger overall choice, though Llama 4 Scout may excel in specific areas like cost efficiency.
Grok 3 is ranked #119 and Llama 4 Scout is ranked #143 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 4 Scout is cheaper at $0.30/M output tokens vs Grok 3's $15.00/M output tokens - 50.0x more expensive. Input token pricing: Grok 3 at $3.00/M vs Llama 4 Scout at $0.08/M.
Llama 4 Scout has a larger context window of 327,680 tokens compared to Grok 3's 131,072 tokens. A larger context window means the model can process longer documents and conversations.