AI model comparison
Llama 4 Scout vs GPT-4o-mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Meta
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Input / 1M
- $0.18
- Output / 1M
- $0.59
- Context
- 1.31M
OpenAI
GPT-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 128K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-4o-mini
1.1x cheaper for a typical chat
Higher intelligence score
Llama 4 Scout
8.1 vs 6.7 on Artificial Analysis
Larger context window
Llama 4 Scout
1.31M vs 128K tokens
Newer release
Llama 4 Scout
Released April 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4o-mini6.7Coding index
GPT-4o-mini11.4Agentic index
GPT-4o-miniNot availablePricing
Llama 4 Scout vs GPT-4o-mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4o-mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.18 | $0.15 |
| Output tokensPer 1M tokens | $0.59 | $0.60 |
| Cached input (read)Per 1M tokens | Not available | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-4o-mini$0.60Coding task
30K in, 4K out
GPT-4o-mini$6.90$4.65 cachedLong document summary
150K in, 2K out
GPT-4o-mini$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4o-mini | |
|---|---|---|
| Context window | 1.31M tokens | 128K tokens |
| Max output | 118K tokens | 16K tokens |
| Input types | Image, Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 5, 2025 | July 18, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4o-mini | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Llama 4 Scout vs Gemini 2.5 Flash Lite
- Llama 4 Scout vs gpt-oss-120b
- Llama 4 Scout vs Llama 3.3 70B Instruct
- Llama 4 Scout vs Qwen3 Coder Next
- Llama 4 Scout vs GPT-4.1 Nano
- Llama 4 Scout vs Llama 4 Maverick
- Llama 4 Scout vs Qwen3 VL 30B A3B Instruct
- Llama 4 Scout vs Solar Pro 3
- Llama 4 Scout vs Sonar
- Llama 4 Scout vs Hermes 3 70B Instruct
- Llama 4 Scout vs Llama 3.1 70B Instruct
- Llama 4 Scout vs Saba
- Llama 4 Scout vs Llama 3.2 3B Instruct
GPT-4o-miniView full model details- GPT-4o-mini vs gpt-oss-120b
- GPT-4o-mini vs GPT-6 Luna Pro
- GPT-4o-mini vs GPT-4.1 Mini
- GPT-4o-mini vs Gemma 3 27B
- GPT-4o-mini vs Llama 3.3 70B Instruct
- GPT-4o-mini vs GPT-4.1 Nano
- GPT-4o-mini vs Llama 4 Maverick
- GPT-4o-mini vs Qwen3 VL 30B A3B Instruct
- GPT-4o-mini vs Qwen3 VL 8B Instruct
- GPT-4o-mini vs Sonar
- GPT-4o-mini vs Qwen3 30B A3B
- GPT-4o-mini vs Hermes 3 70B Instruct
- GPT-4o-mini vs Llama 3.1 70B Instruct
- GPT-4o-mini vs Nova Lite 1.0
- GPT-4o-mini vs Llama 3.2 3B Instruct
- GPT-4o-mini vs GPT-3.5 Turbo
- GPT-4o-mini vs Hermes 3 405B Instruct
- GPT-4o-mini vs Solar Pro 3
- GPT-4o-mini vs GLM 4.5V
- GPT-4o-mini vs Nova Pro 1.0
- GPT-4o-mini vs Qwen2.5 Coder 32B Instruct
- GPT-4o-mini vs Saba
- GPT-4o-mini vs Reka Flash 3
Our take
GPT-4o-mini is 1.1x cheaper for a typical chat. Llama 4 Scout scores higher on the Artificial Analysis Intelligence Index (8.1 vs 6.7). Llama 4 Scout has the larger context window (1.31M vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Llama 4 Scout or GPT-4o-mini cheaper?
GPT-4o-mini is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-4o-mini costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while Llama 4 Scout costs $0.18 per 1M input tokens and $0.59 per 1M output tokens.
Which has a bigger context window, Llama 4 Scout or GPT-4o-mini?
Llama 4 Scout supports up to 1.31M tokens of context, compared with 128K for GPT-4o-mini.
Is Llama 4 Scout smarter than GPT-4o-mini?
On the Artificial Analysis Intelligence Index, Llama 4 Scout scores 8.1 and GPT-4o-mini scores 6.7, putting Llama 4 Scout ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Llama 4 Scout and GPT-4o-mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Llama 4 Scout and GPT-4o-mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Llama 4 Scout and GPT-4o-mini at the same time. Compare the answers side by side and keep the best one.