Llama 4 Scout vs o4-mini— Pricing & Token Cost Comparison
Side-by-side API pricing and tokenizer details for Llama 4 Scout (Meta) and o4-mini (OpenAI).
Side-by-side pricing
| Feature | Llama 4 Scout | o4-mini |
|---|---|---|
| Provider | Meta | OpenAI |
| Input (per 1M tokens) | $0.200 | $1.10 |
| Output (per 1M tokens) | $0.600 | $4.40 |
| Context caching | No | No |
| Batch API discount | Not available | 50% off |
| Context window | 10M tokens | 200K tokens |
| Tokenizer | Heuristic (~chars/4) | o200k_base (tiktoken) |
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
Llama 4 Scout
$0.2200
Input: $0.1000 + Output: $0.1200
o4-mini
$1.4300
Input: $0.5500 + Output: $0.8800
Llama 4 Scout is 85% cheaper for this workload — saving $1.2100 per month at this volume.
Frequently asked questions
- Is Llama 4 Scout cheaper than o4-mini?
- Yes, Llama 4 Scout is cheaper for the typical workload above. At $0.200/1M input and $0.600/1M output tokens, it costs $0.2200 versus $1.4300 for o4-mini — a 85% difference. Costs scale linearly, so larger workloads amplify this gap.
- What is the context window of Llama 4 Scout vs o4-mini?
- Llama 4 Scout supports a 10M token context window. o4-mini supports a 200K token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
- Do Llama 4 Scout or o4-mini support context caching or batch discounts?
- Llama 4 Scout does not support context caching. It does not offer a batch API discount. o4-mini does not support context caching. It offers a 50% Batch API discount.
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