Question 1

What is Llama 4 Maverick?

Accepted Answer

Llama 4 Maverick is a model from Meta, released on Apr 5, 2025. Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

Question 2

How much does Llama 4 Maverick cost?

Accepted Answer

On the Respan gateway, input starts at $0.19 per 1M tokens on OpenRouter, and output starts at $0.65 per 1M tokens on OpenRouter, after gateway discounts.

Question 3

Which providers serve Llama 4 Maverick on Respan?

Accepted Answer

Llama 4 Maverick is served by OpenRouter.

Question 4

What is Llama 4 Maverick's context window?

Accepted Answer

Llama 4 Maverick accepts up to 1.0M tokens of context.

Question 5

How do I use Llama 4 Maverick with the Respan gateway?

Accepted Answer

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "llama-4-maverick". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

Question 6

How fast is Llama 4 Maverick?

Accepted Answer

Over the last 30 days of requests through the Respan gateway, the fastest provider was OpenRouter at 48 tokens per second, and the lowest response latency was 3.8 seconds on OpenRouter. Speed varies with request size and provider.

Question 7

Where does Llama 4 Maverick rank on the Respan Index?

Accepted Answer

Llama 4 Maverick scores 13.6 out of 100 on the Respan Index v1.1, ranking #131 of 138 models. By category: Coding 2.4, Agents 11.7 (estimated), Reasoning 11.2, Knowledge & language 10.5, and Human preference 41.7 (estimated). The Respan Index combines independent and lab-reported benchmark results into one score, using benchmark data collected by llmmetric.com.

Question 8

How does Llama 4 Maverick score on benchmarks?

Accepted Answer

Llama 4 Maverick has 5 published benchmark scores, including WeirdML 24.5%, GPQA Diamond 69.8%, and MMLU-Pro 80.5%. Each score links to where it was published; the data is collected by llmmetric.com.

Llama 4 Maverick

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Pricing

Cost by volume

Throughput and latency

Output speed

Response latency

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Benchmarks

Respan Indexv1.1

Coding1

Reasoning2

Knowledge1

Other1

Apps

Llama 4 Maverick FAQ

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