OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Pro vs Meta: Llama 4 Maverick

Compare DeepSeek: DeepSeek V4 Pro and Meta: Llama 4 Maverick by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

Compare routesProviders, price, context, and policy posture in one view.

Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.

Same API shapeUse the OpenAI client and set the model you want.

Practical read

Meta: Llama 4 Maverick has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Pro has more provider fallback routes, while DeepSeek: DeepSeek V4 Pro has the larger context window. Current TrustedRouter probes show Meta: Llama 4 Maverick with the lower p50 TTFT.

$1.37025/1MDeepSeek: DeepSeek V4 Pro cheapest route

$1.176/1MMeta: Llama 4 Maverick cheapest route

2098 msDeepSeek: DeepSeek V4 Pro measured p50 TTFT

1129 msMeta: Llama 4 Maverick measured p50 TTFT

DeepSeek: DeepSeek V4 ProMeta: Llama 4 Maverick

Model iddeepseek/deepseek-v4-prometa-llama/llama-4-maverick

PublisherDeepSeekCerebras

AI IQ IQ 115#30 IQ 90#90

Context1,048,576 tokens1,048,576 tokens

Provider routes254

Cheapest route$1.37025/1M$1.176/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

DeepSeek: DeepSeek V4 Pro routes

Overview25 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Meta: Llama 4 Maverick routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=messages,
)