Gemini 2.5 Pro vs Llama 4 Scout— Pricing & Token Cost Comparison
Side-by-side API pricing and tokenizer details for Gemini 2.5 Pro (Google) and Llama 4 Scout (Meta).
Side-by-side pricing
| Feature | Gemini 2.5 Pro | Llama 4 Scout |
|---|---|---|
| Provider | Meta | |
| Input (per 1M tokens) | $1.25 | $0.200 |
| Output (per 1M tokens) | $10.00 | $0.600 |
| Context caching | No | No |
| Batch API discount | Not available | Not available |
| Context window | 1M tokens | 10M tokens |
| Tokenizer | Gemini tokenizer | Heuristic (~chars/4) |
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
Gemini 2.5 Pro
$2.6250
Input: $0.6250 + Output: $2.0000
Llama 4 Scout
$0.2200
Input: $0.1000 + Output: $0.1200
Llama 4 Scout is 92% cheaper for this workload — saving $2.4050 per month at this volume.
Frequently asked questions
- Is Gemini 2.5 Pro cheaper than Llama 4 Scout?
- No, 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 $2.6250 for Gemini 2.5 Pro — a 92% difference.
- What is the context window of Gemini 2.5 Pro vs Llama 4 Scout?
- Gemini 2.5 Pro supports a 1M token context window. Llama 4 Scout supports a 10M token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
- Do Gemini 2.5 Pro or Llama 4 Scout support context caching or batch discounts?
- Gemini 2.5 Pro does not support context caching. It does not offer a batch API discount. Llama 4 Scout does not support context caching. It does not offer a batch API discount.
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