GPT-5.6 Cyber vs Llama 4 Maverick

Comparison

As of August 20, 2026, Llama 4 Maverick is 99% cheaper per million tokens than GPT-5.6 Cyber. GPT-5.6 Cyber is $12.50 / $75.00 per million input/output tokens versus Llama 4 Maverick at $0.17 / $0.85. 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 Cyber

OpenAI

$87.50blended / 1M

Input

$12.50

Output

$75.00

400K ctx|Proprietary

99%

cheaper

Better value

Llama 4 Maverick

GPT-5.6 Cyber vs Llama 4 Maverick comparison

Token pricing, specs, and benchmarks side by side

Metric

GPT-5.6 Cyber

Llama 4 Maverick

Provider

OpenAI

GPT-5.6 Cyber vs Llama 4 Maverick: the bottom line

Both models are closely matched on benchmarks. Llama 4 Maverick has the pricing advantage, making it the better value unless GPT-5.6 Cyber's specific capabilities are critical to your workflow.

View GPT-5.6 Cyber details View Llama 4 Maverick details

GPT-5.6 Cyber vs Llama 4 Maverick FAQ

Which is cheaper, GPT-5.6 Cyber or Llama 4 Maverick?

As of August 20, 2026, Llama 4 Maverick is 99% cheaper on blended LLM API pricing. Llama 4 Maverick costs $0.17 per million input tokens and $0.85 per million output tokens ($1.02 blended 1M-in + 1M-out). GPT-5.6 Cyber costs $12.50 / $75.00 per million tokens ($87.50 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 Cyber vs Llama 4 Maverick cost per million tokens?

GPT-5.6 Cyber OpenAI API pricing is $12.50 input and $75.00 output per million tokens via OpenAI. Llama 4 Maverick Meta API pricing is $0.17 input and $0.85 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 Cyber or Llama 4 Maverick?

Llama 4 Maverick has a published LiveCodeBench score of 43.4%. GPT-5.6 Cyber does not have that eval on this page yet.

What is the context window for GPT-5.6 Cyber vs Llama 4 Maverick?

GPT-5.6 Cyber supports a 400K token context window, while Llama 4 Maverick supports 1M tokens. Llama 4 Maverick 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 Cyber or Llama 4 Maverick?

Shared benchmark scores for GPT-5.6 Cyber and Llama 4 Maverick are still limited. Check the comparison table for the evals each model has published. 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 Cyber or Llama 4 Maverick better for production use?

Both GPT-5.6 Cyber and Llama 4 Maverick are production API models. For cost-sensitive production traffic, Llama 4 Maverick 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 Cyber and Llama 4 Maverick in my app?

Yes. Call GPT-5.6 Cyber through OpenAI and Llama 4 Maverick 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 Cyber vs Llama 4 Maverick 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 Cyber and Llama 4 Maverick?

GPT-5.6 Cyber supports up to 128K output tokens per request, while Llama 4 Maverick supports up to 1M 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 Cyber or Llama 4 Maverick?

Llama 4 Maverick has a measured throughput of approximately 69.42 tokens/second. Throughput data for GPT-5.6 Cyber is not yet available. 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 Cyber vs Llama 4 Maverick 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 Cyber or Llama 4 Maverick 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 Cyber vs Llama 4 Maverick pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. GPT-5.6 Cyber costs $12.50/M input and $75.00/M output. Llama 4 Maverick costs $0.17/M input and $0.85/M output.

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