GPT-5.6 Luna vs Llama 4 Scout

Comparison

As of August 20, 2026, Llama 4 Scout is 73% cheaper per million tokens than GPT-5.6 Luna. GPT-5.6 Luna is $0.20 / $1.20 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/

Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Meta pricing (https://llama.meta.com/)

GPT-5.6 Luna

OpenAI

$1.40blended / 1M

Input

$0.20

Output

$1.20

1.1M ctx|Proprietary

73%

cheaper

Better value

Llama 4 Scout

GPT-5.6 Luna vs Llama 4 Scout comparison

Token pricing, specs, and benchmarks side by side

Metric

GPT-5.6 Luna

Llama 4 Scout

Provider

OpenAI

GPT-5.6 Luna vs Llama 4 Scout: the bottom line

Llama 4 Scout offers significantly lower pricing, while GPT-5.6 Luna leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View GPT-5.6 Luna details View Llama 4 Scout details

GPT-5.6 Luna vs Llama 4 Scout FAQ

Which is cheaper, GPT-5.6 Luna or Llama 4 Scout?

As of August 20, 2026, Llama 4 Scout is 73% cheaper on blended LLM API pricing. Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens ($0.38 blended 1M-in + 1M-out). GPT-5.6 Luna costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does GPT-5.6 Luna vs Llama 4 Scout cost per million tokens?

GPT-5.6 Luna OpenAI API pricing is $0.20 input and $1.20 output per million tokens via OpenAI. Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, GPT-5.6 Luna or Llama 4 Scout?

GPT-5.6 Luna has a published SWE-bench Verified score of 93%. Llama 4 Scout does not have that eval on this page yet.

What is the context window for GPT-5.6 Luna vs Llama 4 Scout?

GPT-5.6 Luna supports a 1M token context window, while Llama 4 Scout supports 10M tokens. Llama 4 Scout offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

Which model performs better on benchmarks, GPT-5.6 Luna or Llama 4 Scout?

GPT-5.6 Luna leads on 8 of 8 shared benchmarks versus Llama 4 Scout's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

Is GPT-5.6 Luna or Llama 4 Scout better for production use?

Both GPT-5.6 Luna and Llama 4 Scout are production API models. For cost-sensitive production traffic, Llama 4 Scout has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

Can I switch between GPT-5.6 Luna and Llama 4 Scout in my app?

Yes. Call GPT-5.6 Luna through OpenAI and Llama 4 Scout through Meta with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

How accurate is this GPT-5.6 Luna vs Llama 4 Scout pricing data?

List rates are the latest published OpenAI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

What is the output token limit for GPT-5.6 Luna and Llama 4 Scout?

GPT-5.6 Luna supports up to 128K output tokens per request, while Llama 4 Scout supports up to 10M output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

Which model has better throughput, GPT-5.6 Luna or Llama 4 Scout?

GPT-5.6 Luna runs at approximately 48.45216448188169 tokens/second while Llama 4 Scout runs at 76.1 tokens/second. Llama 4 Scout is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

How do I switch the models in this GPT-5.6 Luna vs Llama 4 Scout comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.6 Luna or Llama 4 Scout from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

GPT-5.6 Luna vs Llama 4 Scout pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. GPT-5.6 Luna costs $0.20/M input and $1.20/M output. Llama 4 Scout costs $0.08/M input and $0.30/M output.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.