| Signal | Llama 4 Scout | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 52 | +12 | |
Pricing | 100 | +1 | |
Context window size | 100 | +27 | |
Recency | 52 | +13 | |
Output Capacity | 70 | +5 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
54.9
current score
Llama 4 Scout
right now
41.2
current score
Meta
DeepSeek
Llama 4 Scout saves you $95.00/month
That's $1140.00/year compared to R1 Distill Llama 70B at your current usage level of 100K calls/month.
| Metric | Llama 4 Scout | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 55 | 41 | Llama 4 Scout |
| Rank | #150 | #168 | Llama 4 Scout |
| Quality Rank | #150 | #168 | Llama 4 Scout |
| Adoption Rank | #150 | #168 | Llama 4 Scout |
| Parameters | -- | 70B | -- |
| Context Window | 10000K | 128K | Llama 4 Scout |
| Pricing | $0.10/$0.30/M | $0.80/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | Llama 4 Scout |
| Benchmarks | 52 | 40 | Llama 4 Scout |
| Pricing | 100 | 99 | Llama 4 Scout |
| Context window size | 100 | 73 | Llama 4 Scout |
| Recency | 52 | 39 | Llama 4 Scout |
| Output Capacity | 70 | 65 | Llama 4 Scout |
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 55/100 (rank #150), placing it in the top 49% of all 290 models tracked.
Scores 41/100 (rank #168), placing it in the top 42% of all 290 models tracked.
Llama 4 Scout has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 75% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $24.00/month with R1 Distill Llama 70B - a $18.00 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 (10000K 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 (55/100) 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
Llama 4 Scout clearly outperforms R1 Distill Llama 70B with a significant 13.699999999999996-point lead. For most general use cases, Llama 4 Scout is the stronger choice. However, R1 Distill Llama 70B may still excel in niche scenarios.
Best for Quality
Llama 4 Scout
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
75% lower pricing; better value at scale
Best for Reliability
Llama 4 Scout
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Scout
Stronger community support and better developer experience
Best for Production
Llama 4 Scout
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Scout | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
DeepSeek
Llama 4 Scout saves you $1.86/month
That's 77% cheaper than R1 Distill Llama 70B 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 | Llama 4 Scout | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 10M | 128K |
| Max Output Tokens | 16,384 | 8,192 |
| Open Source | Yes | Yes |
| Created | Apr 5, 2025 | Jan 23, 2025 |