| Signal | Claude Opus 4 | Delta | Llama 4 Scout |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 82 | +31 | |
Pricing | 25 | -75 | |
Context window size | 84 | -3 | |
Recency | 69 | +8 | |
Output Capacity | 75 | +5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
82.1
current score
Claude Opus 4
right now
54.2
current score
Anthropic
Meta
Llama 4 Scout saves you $5227.00/month
That's $62724.00/year compared to Claude Opus 4 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4 | Llama 4 Scout | Winner |
|---|---|---|---|
| Overall Score | 82 | 54 | Claude Opus 4 |
| Rank | #31 | #162 | Claude Opus 4 |
| Quality Rank | #31 | #162 | Claude Opus 4 |
| Adoption Rank | #31 | #162 | Claude Opus 4 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 328K | Llama 4 Scout |
| Pricing | $15.00/$75.00/M | $0.08/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Claude Opus 4 |
| Benchmarks | 82 | 52 | Claude Opus 4 |
| Pricing | 25 | 100 | Llama 4 Scout |
| Context window size | 84 | 88 | Llama 4 Scout |
| Recency | 69 | 60 | Claude Opus 4 |
| Output Capacity | 75 | 70 | Claude Opus 4 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 82/100 (rank #31), placing it in the top 90% of all 290 models tracked.
Scores 54/100 (rank #162), placing it in the top 44% of all 290 models tracked.
Claude Opus 4 has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 100% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $1350.00/month with Claude Opus 4 - a $1344.30 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. 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 (82/100) 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
Claude Opus 4 clearly outperforms Llama 4 Scout with a significant 27.89999999999999-point lead. For most general use cases, Claude Opus 4 is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.
Best for Quality
Claude Opus 4
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
100% lower pricing; better value at scale
Best for Reliability
Claude Opus 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4
Stronger community support and better developer experience
Best for Production
Claude Opus 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4 | Llama 4 Scout |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Meta
Llama 4 Scout saves you $116.50/month
That's 100% cheaper than Claude Opus 4 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 | Claude Opus 4 | Llama 4 Scout |
|---|---|---|
| Context Window | 200K | 328K |
| Max Output Tokens | 32,000 | 16,384 |
| Open Source | No | Yes |
| Created | May 22, 2025 | Apr 5, 2025 |