Meta: Llama 4 Maverick provider comparison

meta-llama/llama-4-maverick

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...

Endpoints:: 5
Context:: 1M
Input:: text, image
Output:: text

Compare this model in a set →

At a glance

Comparison winners

Based on 1,000 input and 500 output tokens using the latest published median speed data.

Best cost/speed trade-off

DigitalOceandigitalocean

$0.4567 / 1M tokens

26.69 s estimated response

Cheapest

DeepInfradeepinfra/base

$0.4 / 1M tokens

$0.0006 for the sample request

Fastest

Parasailparasail/fp8

10.67 s estimated response

$0.5667 / 1M tokens

Visual comparison

Price and performance charts

Compare published endpoint pricing and estimated response time visually.

Effective price by endpoint

USD per 1 million tokens for input and output. Lower is better.

DeepInfra has the lowest estimated cost for 1,000 input and 500 output tokens at $0.0006.

Estimated cost vs. response time

Based on 1,000 input and 500 output tokens. Cost is shown in USD per 1 million tokens. Lower and further left is better; the single best cost/speed trade-off appears at full opacity.

5 providers have complete pricing and speed data. DigitalOcean is closest to the ideal combination of lowest cost and fastest response.

Server-rendered comparison

Provider endpoints

Prompt and completion prices are effective USD per token as published by OpenRouter. Missing speed data never removes an endpoint.

Rank providers by

Endpoint comparison for Meta: Llama 4 Maverick
Provider / route	Current pricing ↗	Speed measurements	Endpoint details
Provider / route DeepInfra`deepinfra/base` Cheapest	Current pricing Input price $0.2 / 1M tokens Output price $0.8 / 1M tokens Sample cost $0.0006	Speed measurements 500-token response 31.77 s Response starts 0.52 s Output speed 16.0 tok/s	Endpoint details Uptime (30 min) 99.84% Context 1M Model format fp8 Max output 16.4K 13 parameters frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
Provider / route DigitalOcean`digitalocean` Best cost/speed trade-off	Current pricing Input price $0.25 / 1M tokens Output price $0.87 / 1M tokens Sample cost $0.000685	Speed measurements 500-token response 26.69 s Response starts 0.37 s Output speed 19.0 tok/s	Endpoint details Uptime (30 min) 100.00% Context 128K Model format unknown Max output N/a 9 parameters logprobs, max_tokens, response_format, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Provider / route NovitaAI`novita/fp8`	Current pricing Input price $0.27 / 1M tokens Output price $0.85 / 1M tokens Sample cost $0.000695	Speed measurements 500-token response 34.03 s Response starts 0.70 s Output speed 15.0 tok/s	Endpoint details Uptime (30 min) 99.85% Context 1M Model format fp8 Max output 8.2K 11 parameters frequency_penalty, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
Provider / route Parasail`parasail/fp8` Fastest	Current pricing Input price $0.35 / 1M tokens Output price $1 / 1M tokens Sample cost $0.00085	Speed measurements 500-token response 10.67 s Response starts 0.47 s Output speed 49.0 tok/s	Endpoint details Uptime (30 min) 99.89% Context 524.3K Model format fp8 Max output 32.8K 16 parameters frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Provider / route Google Vertex`google-vertex/us-east5`	Current pricing Input price $0.35 / 1M tokens Output price $1.15 / 1M tokens Sample cost $0.000925	Speed measurements 500-token response 17.38 s Response starts 0.72 s Output speed 30.0 tok/s	Endpoint details Uptime (30 min) 83.00% Context 524.3K Model format unknown Max output 8.2K 12 parameters frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p

Endpoint data fetched Jul 15, 2026, 11:17 PM UTC.

Llama 4 Maverick deployment guide

How to choose a Llama 4 Maverick inference provider

Llama 4 Maverick is indexed here as a text model by Meta, with 5 provider endpoints from DeepInfra, DigitalOcean, NovitaAI, Parasail, Google Vertex. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.

Match the endpoint to the workload

The model publishes a 1M-token context window. It accepts text, image input and returns text output. 17 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.

Compare the real request economics

DeepInfra currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.0006. Input-heavy and output-heavy applications can produce a different result, so review both per-million-token prices in the endpoint table.

Balance response start and generation speed

Parasail currently has the shortest estimated 500-token response at 10.67 seconds. DigitalOcean is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.