Grok 4.3 vs Llama 4 Scout
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Grok 4.3 and Llama 4 Scout.
Grok 4.3
Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Technical Specifications
| Specification | Grok 4.3 | Llama 4 Scout |
|---|---|---|
| Provider | xAI | Meta |
| Context Window | 1,000,000 tokens | 10,000,000 tokens |
| Agent Suitability | 87/100 | 82/100 |
| Time to First Token (TTFT) | 400 ms | 350 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2026-04-30 | 2025-04-05 |
API Pricing Comparison
Input Price per Million Tokens
Grok 4.3
$1.25
Llama 4 Scout
$0.10
Output Price per Million Tokens
Grok 4.3
$2.50
Llama 4 Scout
$0.30
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Grok 4.3 Quirks & Gotchas
- ▸Strong coding performance — competitive with Claude Sonnet at similar price point
- ▸Upgrade to Grok 4.20 for improved reasoning and tool calling
Llama 4 Scout Quirks & Gotchas
- ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
- ▸Primarily designed for RAG, not agentic tool calling