LLM Comparison
Claude Opus 4.6 vs Llama 4 Scout
Side-by-side specs, pricing & capabilities · Updated May 2026
Price vs Intelligence
Add to comparison
2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 63 4.2 | 17 87.4 |
| Family | Claude | Llama |
| Status | Current | Current |
| Release Date | Feb 2026 | Apr 2025 |
| Context Window | 1.0M tokens | 328K tokens |
| Input Price | $5.00/M tokens | $0.08/M tokens |
| Output Price | $25.00/M tokens | $0.30/M tokens |
| Pricing Notes | Cache read: $0.5000/M tokens | — |
| Capabilities | textvisioncodetool-use | textvisioncode |
| Max Output | 128K tokens | 16K tokens |
| API Identifier | anthropic/claude-opus-4.6 | meta-llama/llama-4-scout |
| Benchmarks | ||
| MMLU | 89.8anthropic | 79.6meta |
| GPQA Diamond | 91.3anthropic | — |
| SWE-bench Verified | 80.8anthropic | — |
| SWE-bench Pro | 53.4anthropic | — |
| Terminal-Bench 2.0 | 65.4anthropic | — |
| MATH 500 | 80.7anthropic | — |
| LiveCodeBench | 55.9anthropic | 32.8meta |
| Berkeley Function Calling | 91.9anthropic | — |
| HLE | 48anthropic | — |
| MCP-Atlas | 75.8anthropic | — |
| BrowseComp | 83.7anthropic | — |
| OSWorld-Verified | 72.7anthropic | — |
| DocVQA | 91.3anthropic | — |
| GPQA-AA Elo | 1619artificial-analysis | — |
| MMLU Pro | — | 74.3meta |
| GPQA | — | 57.2meta |
| MATH | — | 50.3meta |
| MMMU | — | 69.4meta |
| MGSM | — | 91meta |
| View Claude Opus 4.6 | View Llama 4 Scout | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Llama 4 ScoutCheapest | $0.08 | $0.15 | $0.23 | — |
| Claude Opus 4.6 | $5.00 | $12.50 | $17.50 | +7509% |
Anthropic
Claude Opus 4.6
Claude Opus 4.6 is a multimodal LLM from Anthropic with adaptive reasoning capabilities. Achieves 91.3% on GPQA Diamond and 80.8% on SWE-bench Verified. Supports up to 1,000,000 token context window. Available from $5.00/M input tokens.
Meta
Llama 4 Scout
Llama 4 Scout is a multimodal llm from Meta. Supports up to 327,680 token context window. Achieves 82.6% on MMLU. Available from $0.08/M input tokens.
More Comparisons
Looking for more AI models?
Browse All LLMs