LLM Comparison
Claude Opus 4.7 vs Llama 4 Scout
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 71 4.7 | 10 51.1 |
| Family | Claude | Llama |
| Status | Current | Current |
| Release Date | Apr 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-4.7 | meta-llama/llama-4-scout |
| Benchmarks | ||
| MMLU | 84.7anthropic | 79.6meta |
| MMLU-Pro | 78.1anthropic | — |
| MMMLU | 92anthropic | — |
| GPQA Diamond | 94.2anthropic | 57.2meta |
| HLE | 54.7artificial-analysis | — |
| SWE-bench Verified | 87.6anthropic | — |
| SWE-bench Pro | 64.3anthropic | — |
| SWE-bench Multilingual+Multimodal | 80.5anthropic | — |
| Terminal-Bench | 69.4anthropic | — |
| MCP-Atlas | 77.3anthropic | — |
| Berkeley Function Calling | 77.3anthropic | — |
| OSWorld-Verified | 78anthropic | — |
| BrowseComp | 79.3anthropic | — |
| CharXiv-R | 91anthropic | — |
| DocVQA | 93.1anthropic | — |
| CyberGym | 73.1anthropic | — |
| GDPVal-AA Elo | 1753artificial-analysis | — |
| Terminal-Bench 2.1 | 83.1461artificial-analysis | 3.7453artificial-analysis |
| MMLU Pro | — | 74.3meta |
| MATH | — | 50.3meta |
| LiveCodeBench (10/01/2024-02/01/2025) | — | 32.8meta |
| MMMU | — | 69.4meta |
| MGSM | — | 90.6meta |
| Artificial Analysis Intelligence Index v4.3 | — | 6.4513artificial-analysis |
| SciCode | — | 21.2963artificial-analysis |
| AIME 2025 | — | 14artificial-analysis |
| View Claude Opus 4.7 | View Llama 4 Scout | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Llama 4 ScoutCheapest | $0.08 | $0.15 | $0.23 | — |
| Claude Opus 4.7 | $5.00 | $12.50 | $17.50 | +7509% |
Anthropic
Claude Opus 4.7
Claude Opus 4.7 is Anthropic's most capable generally available model, with significant improvements in advanced software engineering, agentic tool use, and vision resolution. Achieves 87.6% on SWE-bench Verified and 94.2% on GPQA Diamond. Supports up to 1,000,000 token context window with 3.3x higher-resolution vision than Opus 4.6.
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.
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