Claude Opus 4.8 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 Claude Opus 4.8 and Llama 4 Scout.
Claude Opus 4.8
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
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 | Claude Opus 4.8 | Llama 4 Scout |
|---|---|---|
| Provider | Anthropic | Meta |
| Context Window | 1,000,000 tokens | 10,000,000 tokens |
| Agent Suitability | 97/100 | 82/100 |
| Time to First Token (TTFT) | 520 ms | 350 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | beta |
| API Available | Yes | Yes |
| Released Date | 2026-05-27 | 2025-04-05 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.8
$5.00
Llama 4 Scout
$0.10
Output Price per Million Tokens
Claude Opus 4.8
$25.00
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.
Claude Opus 4.8 Quirks & Gotchas
- ▸Best-in-class for autonomous code repair and multi-agent orchestration
- ▸Preview model — API may introduce breaking changes without notice
Llama 4 Scout Quirks & Gotchas
- ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
- ▸Primarily designed for RAG, not agentic tool calling