| Signal | GPT-4o-mini | Delta | Llama 4 Scout |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 76 | +24 | |
Pricing | 99 | 0 | |
Context window size | 81 | -6 | |
Recency | 13 | -48 | |
Output Capacity | 70 | -- | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
69.3
current score
GPT-4o-mini
right now
54.2
current score
OpenAI
Meta
Llama 4 Scout saves you $22.00/month
That's $264.00/year compared to GPT-4o-mini at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini | Llama 4 Scout | Winner |
|---|---|---|---|
| Overall Score | 69 | 54 | GPT-4o-mini |
| Rank | #105 | #162 | GPT-4o-mini |
| Quality Rank | #105 | #162 | GPT-4o-mini |
| Adoption Rank | #105 | #162 | GPT-4o-mini |
| Parameters | -- | -- | -- |
| Context Window | 128K | 328K | Llama 4 Scout |
| Pricing | $0.15/$0.60/M | $0.08/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | GPT-4o-mini |
| Benchmarks | 76 | 52 | GPT-4o-mini |
| Pricing | 99 | 100 | Llama 4 Scout |
| Context window size | 81 | 88 | Llama 4 Scout |
| Recency | 13 | 60 | Llama 4 Scout |
| Output Capacity | 70 | 70 | GPT-4o-mini |
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 69/100 (rank #105), placing it in the top 64% of all 290 models tracked.
Scores 54/100 (rank #162), placing it in the top 44% of all 290 models tracked.
GPT-4o-mini has a 15-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Scout offers 49% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 4 Scout vs $11.25/month with GPT-4o-mini - a $5.55 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 (69/100) 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
GPT-4o-mini clearly outperforms Llama 4 Scout with a significant 15.099999999999994-point lead. For most general use cases, GPT-4o-mini is the stronger choice. However, Llama 4 Scout may still excel in niche scenarios.
Best for Quality
GPT-4o-mini
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
49% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini
Stronger community support and better developer experience
Best for Production
GPT-4o-mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini | Llama 4 Scout |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama 4 Scout saves you $0.4860/month
That's 49% cheaper than GPT-4o-mini 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 | GPT-4o-mini | Llama 4 Scout |
|---|---|---|
| Context Window | 128K | 328K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | No | Yes |
| Created | Jul 18, 2024 | Apr 5, 2025 |