Side-by-side API pricing and tokenizer details for GPT-4o (OpenAI) and Llama 4 Scout (Meta).
Side-by-side pricing
Feature
GPT-4o
Llama 4 Scout
Provider
OpenAI
Meta
Input (per 1M tokens)
$2.50
$0.100
Output (per 1M tokens)
$10.00
$0.300
Context caching
No
No
Batch API discount
50% off
Not available
Context window
128K tokens
1M tokens
Tokenizer
o200k_base (tiktoken)
Heuristic (~chars/4)
ⓘ GPT-4o: Deprecated by OpenAI. API access shuts down 2026-10-23; calls will error after that date. Prices are no longer listed on OpenAI's pricing page and could not be re-verified from a vendor source.
ⓘ Llama 4 Scout: Meta retired the Llama API on 2026-07-06, so there is no vendor price. Figures and context window reflect OpenRouter; other hosts differ.
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
GPT-4o
$3.2500
Input: $1.2500 +Output: $2.0000
Llama 4 Scout
$0.1100
Input: $0.0500 +Output: $0.0600
Llama 4 Scout is 97% cheaper for this workload — saving $3.1400 per month at this volume.
Frequently asked questions
No, Llama 4 Scout is cheaper for the typical workload above. At $0.100/1M input and $0.300/1M output tokens, it costs $0.1100 versus $3.2500 for GPT-4o — a 97% difference.
GPT-4o supports a 128K token context window. Llama 4 Scout supports a 1M token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
GPT-4o does not support context caching. It offers a 50% Batch API discount. Llama 4 Scout does not support context caching. It does not offer a batch API discount.
No, they use different tokenizers. GPT-4o uses the o200k_base (tiktoken), while Llama 4 Scout uses Heuristic (~chars/4). Different tokenizers split text differently, so the same prompt will produce different token counts on each model — the effective cost difference may be larger or smaller than the per-token price difference alone suggests.
GPT-4o (OpenAI): $2.5 input / $10 output per 1M tokens. Llama 4 Scout (Meta): $0.1 input / $0.3 output per 1M tokens. Rates shown before caching or batch discounts.
For an 80% output / 20% input workload — typical for code generation or long-form writing — GPT-4o costs $8.5000 per 1M total tokens and Llama 4 Scout costs $0.2600. Llama 4 Scout is 97% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
GPT-4o has a 128K-token context window — approximately 96K words or ~384 pages of standard text. Llama 4 Scout has a 1M-token context window — approximately 750K words or ~3K pages. (Estimates assume ~0.75 words per token.)
Calculate costs for your actual prompt
Paste your prompt into the calculator and get exact token counts using each model's real tokenizer — all in your browser.